Objective quantification of perceived differences between measured and synthesized aircraft sounds
This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sahai, Abhishek K. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
11 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience - Baysal, Birol ELSEVIER, 2015, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:72 ; year:2018 ; pages:25-35 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ast.2017.10.035 |
|---|
| Katalog-ID: |
ELV041474201 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV041474201 | ||
| 003 | DE-627 | ||
| 005 | 20230625234733.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180726s2018 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ast.2017.10.035 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica |
| 035 | |a (DE-627)ELV041474201 | ||
| 035 | |a (ELSEVIER)S1270-9638(16)31377-3 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 610 |q VZ |
| 082 | 0 | 4 | |a 600 |a 670 |q VZ |
| 084 | |a 51.00 |2 bkl | ||
| 100 | 1 | |a Sahai, Abhishek K. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Objective quantification of perceived differences between measured and synthesized aircraft sounds |
| 264 | 1 | |c 2018transfer abstract | |
| 300 | |a 11 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. | ||
| 520 | |a This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. | ||
| 650 | 7 | |a Aircraft sound quality |2 Elsevier | |
| 650 | 7 | |a Aircraft noise auralization |2 Elsevier | |
| 650 | 7 | |a Aircraft noise annoyance |2 Elsevier | |
| 650 | 7 | |a Aircraft noise synthesis |2 Elsevier | |
| 650 | 7 | |a Acoustic perception-influenced design |2 Elsevier | |
| 700 | 1 | |a Snellen, Mirjam |4 oth | |
| 700 | 1 | |a Simons, Dick G. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Baysal, Birol ELSEVIER |t Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |d 2015 |g Amsterdam [u.a.] |w (DE-627)ELV013466232 |
| 773 | 1 | 8 | |g volume:72 |g year:2018 |g pages:25-35 |g extent:11 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ast.2017.10.035 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a GBV_ILN_40 | ||
| 936 | b | k | |a 51.00 |j Werkstoffkunde: Allgemeines |q VZ |
| 951 | |a AR | ||
| 952 | |d 72 |j 2018 |h 25-35 |g 11 | ||
| author_variant |
a k s ak aks |
|---|---|
| matchkey_str |
sahaiabhishekksnellenmirjamsimonsdickg:2018----:betvqatfctooprevdifrnebtenesrdnsn |
| hierarchy_sort_str |
2018transfer abstract |
| bklnumber |
51.00 |
| publishDate |
2018 |
| allfields |
10.1016/j.ast.2017.10.035 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica (DE-627)ELV041474201 (ELSEVIER)S1270-9638(16)31377-3 DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Sahai, Abhishek K. verfasserin aut Objective quantification of perceived differences between measured and synthesized aircraft sounds 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Elsevier Snellen, Mirjam oth Simons, Dick G. oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:72 year:2018 pages:25-35 extent:11 https://doi.org/10.1016/j.ast.2017.10.035 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 72 2018 25-35 11 |
| spelling |
10.1016/j.ast.2017.10.035 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica (DE-627)ELV041474201 (ELSEVIER)S1270-9638(16)31377-3 DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Sahai, Abhishek K. verfasserin aut Objective quantification of perceived differences between measured and synthesized aircraft sounds 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Elsevier Snellen, Mirjam oth Simons, Dick G. oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:72 year:2018 pages:25-35 extent:11 https://doi.org/10.1016/j.ast.2017.10.035 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 72 2018 25-35 11 |
| allfields_unstemmed |
10.1016/j.ast.2017.10.035 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica (DE-627)ELV041474201 (ELSEVIER)S1270-9638(16)31377-3 DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Sahai, Abhishek K. verfasserin aut Objective quantification of perceived differences between measured and synthesized aircraft sounds 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Elsevier Snellen, Mirjam oth Simons, Dick G. oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:72 year:2018 pages:25-35 extent:11 https://doi.org/10.1016/j.ast.2017.10.035 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 72 2018 25-35 11 |
| allfieldsGer |
10.1016/j.ast.2017.10.035 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica (DE-627)ELV041474201 (ELSEVIER)S1270-9638(16)31377-3 DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Sahai, Abhishek K. verfasserin aut Objective quantification of perceived differences between measured and synthesized aircraft sounds 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Elsevier Snellen, Mirjam oth Simons, Dick G. oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:72 year:2018 pages:25-35 extent:11 https://doi.org/10.1016/j.ast.2017.10.035 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 72 2018 25-35 11 |
| allfieldsSound |
10.1016/j.ast.2017.10.035 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica (DE-627)ELV041474201 (ELSEVIER)S1270-9638(16)31377-3 DE-627 ger DE-627 rakwb eng 610 VZ 600 670 VZ 51.00 bkl Sahai, Abhishek K. verfasserin aut Objective quantification of perceived differences between measured and synthesized aircraft sounds 2018transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Elsevier Snellen, Mirjam oth Simons, Dick G. oth Enthalten in Elsevier Science Baysal, Birol ELSEVIER Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience 2015 Amsterdam [u.a.] (DE-627)ELV013466232 volume:72 year:2018 pages:25-35 extent:11 https://doi.org/10.1016/j.ast.2017.10.035 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 51.00 Werkstoffkunde: Allgemeines VZ AR 72 2018 25-35 11 |
| language |
English |
| source |
Enthalten in Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience Amsterdam [u.a.] volume:72 year:2018 pages:25-35 extent:11 |
| sourceStr |
Enthalten in Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience Amsterdam [u.a.] volume:72 year:2018 pages:25-35 extent:11 |
| format_phy_str_mv |
Article |
| bklname |
Werkstoffkunde: Allgemeines |
| institution |
findex.gbv.de |
| topic_facet |
Aircraft sound quality Aircraft noise auralization Aircraft noise annoyance Aircraft noise synthesis Acoustic perception-influenced design |
| dewey-raw |
610 |
| isfreeaccess_bool |
false |
| container_title |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| authorswithroles_txt_mv |
Sahai, Abhishek K. @@aut@@ Snellen, Mirjam @@oth@@ Simons, Dick G. @@oth@@ |
| publishDateDaySort_date |
2018-01-01T00:00:00Z |
| hierarchy_top_id |
ELV013466232 |
| dewey-sort |
3610 |
| id |
ELV041474201 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV041474201</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625234733.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180726s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ast.2017.10.035</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV041474201</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1270-9638(16)31377-3</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sahai, Abhishek K.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Objective quantification of perceived differences between measured and synthesized aircraft sounds</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">11</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft sound quality</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft noise auralization</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft noise annoyance</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft noise synthesis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Acoustic perception-influenced design</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Snellen, Mirjam</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Simons, Dick G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Baysal, Birol ELSEVIER</subfield><subfield code="t">Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience</subfield><subfield code="d">2015</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013466232</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:72</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:25-35</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ast.2017.10.035</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">72</subfield><subfield code="j">2018</subfield><subfield code="h">25-35</subfield><subfield code="g">11</subfield></datafield></record></collection>
|
| author |
Sahai, Abhishek K. |
| spellingShingle |
Sahai, Abhishek K. ddc 610 ddc 600 bkl 51.00 Elsevier Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Objective quantification of perceived differences between measured and synthesized aircraft sounds |
| authorStr |
Sahai, Abhishek K. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV013466232 |
| format |
electronic Article |
| dewey-ones |
610 - Medicine & health 600 - Technology 670 - Manufacturing |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
610 VZ 600 670 VZ 51.00 bkl Objective quantification of perceived differences between measured and synthesized aircraft sounds Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design Elsevier |
| topic |
ddc 610 ddc 600 bkl 51.00 Elsevier Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design |
| topic_unstemmed |
ddc 610 ddc 600 bkl 51.00 Elsevier Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design |
| topic_browse |
ddc 610 ddc 600 bkl 51.00 Elsevier Aircraft sound quality Elsevier Aircraft noise auralization Elsevier Aircraft noise annoyance Elsevier Aircraft noise synthesis Elsevier Acoustic perception-influenced design |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
m s ms d g s dg dgs |
| hierarchy_parent_title |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| hierarchy_parent_id |
ELV013466232 |
| dewey-tens |
610 - Medicine & health 600 - Technology 670 - Manufacturing |
| hierarchy_top_title |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV013466232 |
| title |
Objective quantification of perceived differences between measured and synthesized aircraft sounds |
| ctrlnum |
(DE-627)ELV041474201 (ELSEVIER)S1270-9638(16)31377-3 |
| title_full |
Objective quantification of perceived differences between measured and synthesized aircraft sounds |
| author_sort |
Sahai, Abhishek K. |
| journal |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| journalStr |
Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2018 |
| contenttype_str_mv |
zzz |
| container_start_page |
25 |
| author_browse |
Sahai, Abhishek K. |
| container_volume |
72 |
| physical |
11 |
| class |
610 VZ 600 670 VZ 51.00 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Sahai, Abhishek K. |
| doi_str_mv |
10.1016/j.ast.2017.10.035 |
| dewey-full |
610 600 670 |
| title_sort |
objective quantification of perceived differences between measured and synthesized aircraft sounds |
| title_auth |
Objective quantification of perceived differences between measured and synthesized aircraft sounds |
| abstract |
This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. |
| abstractGer |
This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. |
| abstract_unstemmed |
This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_40 |
| title_short |
Objective quantification of perceived differences between measured and synthesized aircraft sounds |
| url |
https://doi.org/10.1016/j.ast.2017.10.035 |
| remote_bool |
true |
| author2 |
Snellen, Mirjam Simons, Dick G. |
| author2Str |
Snellen, Mirjam Simons, Dick G. |
| ppnlink |
ELV013466232 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1016/j.ast.2017.10.035 |
| up_date |
2024-07-06T20:13:31.431Z |
| _version_ |
1803861949344120832 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV041474201</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625234733.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180726s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ast.2017.10.035</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001032.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV041474201</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1270-9638(16)31377-3</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">600</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sahai, Abhishek K.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Objective quantification of perceived differences between measured and synthesized aircraft sounds</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">11</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper presents an approach with which perceived audible differences in aircraft sounds can be quantified and presented in an objective manner. The objective quantification of the subjectively heard audible differences is intended to serve two primary goals. It can firstly enable developers of auralization technology to make the auralized sounds more realistic by identifying in which aspects the synthesized sounds differ from their real-life counterparts and to what extent. The quantification can secondly provide an improved and more detailed means of distinguishing between aircraft sounds in general, beyond the conventional metrics of A-weighted Sound Pressure level (dBA) or Effective Perceived Noise Level (EPNL) used currently to assess aircraft noise. In this study sound quality metrics are used to quantify the differences in aircraft sounds. These metrics are widely used in other industries such as the automotive sector. Audio files of a reference aircraft, made over identical flight paths at a noise monitoring station in the vicinity of Schiphol airport, are compared in terms of both conventional and sound quality metrics for four measured and four auralized audio files. It is observed from the comparison that differences that may appear small in the conventional metrics can be significant in terms of the sound quality metrics. Significant differences in measured and synthesized sounds are observed for the aircraft considered in this study with regards to the tonal content and fluctuations in amplitude that occur over time. The conventional metrics are seen to capture the overall loudness aspect of aircraft sounds, but give no clear information regarding which spectral or temporal characteristics cause the sounds to be perceived as audibly different.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft sound quality</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft noise auralization</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft noise annoyance</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Aircraft noise synthesis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Acoustic perception-influenced design</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Snellen, Mirjam</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Simons, Dick G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Baysal, Birol ELSEVIER</subfield><subfield code="t">Mo1474 The Role of EUS Examination and EUS-Guided Fine Needle Aspiration Biopsy for Evaluation of Gastric Subepithelial Lesions: a Large Single Center Experience</subfield><subfield code="d">2015</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV013466232</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:72</subfield><subfield code="g">year:2018</subfield><subfield code="g">pages:25-35</subfield><subfield code="g">extent:11</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ast.2017.10.035</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="j">Werkstoffkunde: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">72</subfield><subfield code="j">2018</subfield><subfield code="h">25-35</subfield><subfield code="g">11</subfield></datafield></record></collection>
|
| score |
7.3973074 |