An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection
Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide q...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
De Decker, Paul [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|
| Erschienen: |
De Gruyter ; 2016 |
|---|
| Schlagwörter: |
|---|
| Reproduktion: |
Walter de Gruyter Online Zeitschriften |
|---|---|
| Übergeordnetes Werk: |
Enthalten in: Linguistics vanguard - Berlin : De Gruyter Mouton, 2015, 2(2016), 1 vom: 1. März |
| Übergeordnetes Werk: |
volume:2 ; year:2016 ; number:1 ; day:1 ; month:03 |
| Links: |
|---|
| DOI / URN: |
10.1515/lingvan-2015-0010 |
|---|
| Katalog-ID: |
NLEJ24741798X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLEJ24741798X | ||
| 003 | DE-627 | ||
| 005 | 20220820032434.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220814s2016 xx |||||o 00| ||und c | ||
| 024 | 7 | |a 10.1515/lingvan-2015-0010 |2 doi | |
| 028 | 5 | 2 | |a articles2015-2020.pp |
| 035 | |a (DE-627)NLEJ24741798X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 100 | 1 | |a De Decker, Paul |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection |
| 264 | 1 | |b De Gruyter |c 2016 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. | ||
| 533 | |f Walter de Gruyter Online Zeitschriften | ||
| 650 | 4 | |a sociophonetics | |
| 650 | 4 | |a sociolinguistic interview | |
| 650 | 4 | |a noise | |
| 650 | 4 | |a vowel formants | |
| 773 | 0 | 8 | |i Enthalten in |t Linguistics vanguard |d Berlin : De Gruyter Mouton, 2015 |g 2(2016), 1 vom: 1. März |w (DE-627)NLEJ248236415 |w (DE-600)2798614-7 |x 2199-174X |7 nnns |
| 773 | 1 | 8 | |g volume:2 |g year:2016 |g number:1 |g day:1 |g month:03 |
| 856 | 4 | 0 | |u https://doi.org/10.1515/lingvan-2015-0010 |z Deutschlandweit zugänglich |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a ZDB-1-DGR | ||
| 912 | |a GBV_NL_ARTICLE | ||
| 951 | |a AR | ||
| 952 | |d 2 |j 2016 |e 1 |b 1 |c 3 | ||
| author_variant |
d p d dp dpd |
|---|---|
| matchkey_str |
article:2199174X:2016----::nvlainfosolcaevwlomnetmtsmlctososc |
| hierarchy_sort_str |
2016 |
| publishDate |
2016 |
| allfields |
10.1515/lingvan-2015-0010 doi articles2015-2020.pp (DE-627)NLEJ24741798X DE-627 ger DE-627 rakwb De Decker, Paul verfasserin aut An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection De Gruyter 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. Walter de Gruyter Online Zeitschriften sociophonetics sociolinguistic interview noise vowel formants Enthalten in Linguistics vanguard Berlin : De Gruyter Mouton, 2015 2(2016), 1 vom: 1. März (DE-627)NLEJ248236415 (DE-600)2798614-7 2199-174X nnns volume:2 year:2016 number:1 day:1 month:03 https://doi.org/10.1515/lingvan-2015-0010 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 2 2016 1 1 3 |
| spelling |
10.1515/lingvan-2015-0010 doi articles2015-2020.pp (DE-627)NLEJ24741798X DE-627 ger DE-627 rakwb De Decker, Paul verfasserin aut An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection De Gruyter 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. Walter de Gruyter Online Zeitschriften sociophonetics sociolinguistic interview noise vowel formants Enthalten in Linguistics vanguard Berlin : De Gruyter Mouton, 2015 2(2016), 1 vom: 1. März (DE-627)NLEJ248236415 (DE-600)2798614-7 2199-174X nnns volume:2 year:2016 number:1 day:1 month:03 https://doi.org/10.1515/lingvan-2015-0010 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 2 2016 1 1 3 |
| allfields_unstemmed |
10.1515/lingvan-2015-0010 doi articles2015-2020.pp (DE-627)NLEJ24741798X DE-627 ger DE-627 rakwb De Decker, Paul verfasserin aut An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection De Gruyter 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. Walter de Gruyter Online Zeitschriften sociophonetics sociolinguistic interview noise vowel formants Enthalten in Linguistics vanguard Berlin : De Gruyter Mouton, 2015 2(2016), 1 vom: 1. März (DE-627)NLEJ248236415 (DE-600)2798614-7 2199-174X nnns volume:2 year:2016 number:1 day:1 month:03 https://doi.org/10.1515/lingvan-2015-0010 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 2 2016 1 1 3 |
| allfieldsGer |
10.1515/lingvan-2015-0010 doi articles2015-2020.pp (DE-627)NLEJ24741798X DE-627 ger DE-627 rakwb De Decker, Paul verfasserin aut An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection De Gruyter 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. Walter de Gruyter Online Zeitschriften sociophonetics sociolinguistic interview noise vowel formants Enthalten in Linguistics vanguard Berlin : De Gruyter Mouton, 2015 2(2016), 1 vom: 1. März (DE-627)NLEJ248236415 (DE-600)2798614-7 2199-174X nnns volume:2 year:2016 number:1 day:1 month:03 https://doi.org/10.1515/lingvan-2015-0010 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 2 2016 1 1 3 |
| allfieldsSound |
10.1515/lingvan-2015-0010 doi articles2015-2020.pp (DE-627)NLEJ24741798X DE-627 ger DE-627 rakwb De Decker, Paul verfasserin aut An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection De Gruyter 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. Walter de Gruyter Online Zeitschriften sociophonetics sociolinguistic interview noise vowel formants Enthalten in Linguistics vanguard Berlin : De Gruyter Mouton, 2015 2(2016), 1 vom: 1. März (DE-627)NLEJ248236415 (DE-600)2798614-7 2199-174X nnns volume:2 year:2016 number:1 day:1 month:03 https://doi.org/10.1515/lingvan-2015-0010 Deutschlandweit zugänglich GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE AR 2 2016 1 1 3 |
| source |
Enthalten in Linguistics vanguard 2(2016), 1 vom: 1. März volume:2 year:2016 number:1 day:1 month:03 |
| sourceStr |
Enthalten in Linguistics vanguard 2(2016), 1 vom: 1. März volume:2 year:2016 number:1 day:1 month:03 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
sociophonetics sociolinguistic interview noise vowel formants |
| isfreeaccess_bool |
false |
| container_title |
Linguistics vanguard |
| authorswithroles_txt_mv |
De Decker, Paul @@aut@@ |
| publishDateDaySort_date |
2016-03-01T00:00:00Z |
| hierarchy_top_id |
NLEJ248236415 |
| id |
NLEJ24741798X |
| 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">NLEJ24741798X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220820032434.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220814s2016 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/lingvan-2015-0010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">articles2015-2020.pp</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ24741798X</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="100" ind1="1" ind2=" "><subfield code="a">De Decker, Paul</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">De Gruyter</subfield><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Walter de Gruyter Online Zeitschriften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sociophonetics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sociolinguistic interview</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">noise</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vowel formants</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Linguistics vanguard</subfield><subfield code="d">Berlin : De Gruyter Mouton, 2015</subfield><subfield code="g">2(2016), 1 vom: 1. März</subfield><subfield code="w">(DE-627)NLEJ248236415</subfield><subfield code="w">(DE-600)2798614-7</subfield><subfield code="x">2199-174X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:1</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/lingvan-2015-0010</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DGR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2</subfield><subfield code="j">2016</subfield><subfield code="e">1</subfield><subfield code="b">1</subfield><subfield code="c">3</subfield></datafield></record></collection>
|
| series2 |
Walter de Gruyter Online Zeitschriften |
| author |
De Decker, Paul |
| spellingShingle |
De Decker, Paul misc sociophonetics misc sociolinguistic interview misc noise misc vowel formants An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection |
| authorStr |
De Decker, Paul |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ248236415 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
NL |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
2199-174X |
| topic_title |
An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection sociophonetics sociolinguistic interview noise vowel formants |
| publisher |
De Gruyter |
| publisherStr |
De Gruyter |
| topic |
misc sociophonetics misc sociolinguistic interview misc noise misc vowel formants |
| topic_unstemmed |
misc sociophonetics misc sociolinguistic interview misc noise misc vowel formants |
| topic_browse |
misc sociophonetics misc sociolinguistic interview misc noise misc vowel formants |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Linguistics vanguard |
| hierarchy_parent_id |
NLEJ248236415 |
| hierarchy_top_title |
Linguistics vanguard |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)NLEJ248236415 (DE-600)2798614-7 |
| title |
An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection |
| ctrlnum |
(DE-627)NLEJ24741798X |
| title_full |
An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection |
| author_sort |
De Decker, Paul |
| journal |
Linguistics vanguard |
| journalStr |
Linguistics vanguard |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
txt |
| author_browse |
De Decker, Paul |
| container_volume |
2 |
| format_se |
Elektronische Aufsätze |
| author-letter |
De Decker, Paul |
| doi_str_mv |
10.1515/lingvan-2015-0010 |
| title_sort |
an evaluation of noise on lpc-based vowel formant estimates: implications for sociolinguistic data collection |
| title_auth |
An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection |
| abstract |
Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. |
| abstractGer |
Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. |
| abstract_unstemmed |
Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented. |
| collection_details |
GBV_USEFLAG_U ZDB-1-DGR GBV_NL_ARTICLE |
| container_issue |
1 |
| title_short |
An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection |
| url |
https://doi.org/10.1515/lingvan-2015-0010 |
| remote_bool |
true |
| ppnlink |
NLEJ248236415 |
| mediatype_str_mv |
c |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1515/lingvan-2015-0010 |
| up_date |
2024-07-06T10:30:41.010Z |
| _version_ |
1803825280198901760 |
| 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">NLEJ24741798X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220820032434.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220814s2016 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/lingvan-2015-0010</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">articles2015-2020.pp</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ24741798X</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="100" ind1="1" ind2=" "><subfield code="a">De Decker, Paul</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An evaluation of noise on LPC-based vowel formant estimates: Implications for sociolinguistic data collection</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="b">De Gruyter</subfield><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Current trends in sociophonetic data analysis indicate a shift to entirely automatic measurements of spectral properties using programs like Praat. While such practices are useful for the rapid collection of acoustic data from large corpora, they, by default do not permit human analysts to provide quality control or make hand corrected measurements when needed. Under ideal signal-to-noise conditions, such as in a sound-proof room, this may not be a problem. However, analysis of audio recordings made in acoustically-uncontrolled environments, like many standard sociolinguistic interviews, are arguably susceptible to spurious estimates using automated routines. This paper presents the results of a highly controlled noise-interference experiment designed to examine the effects of different types of noise at varying signal-to-noise levels on automated LPC-based vowel formant measurements made in Praat. Findings indicate that some noises are more detrimental than others, affect some formant frequencies more than others and that louder noises make it inappropriate to conduct an analysis of F1 and F2. Results are discussed and suggestions for better practices in recording sociolinguistic interviews for sociophonetic data collection are presented.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Walter de Gruyter Online Zeitschriften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sociophonetics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sociolinguistic interview</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">noise</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vowel formants</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Linguistics vanguard</subfield><subfield code="d">Berlin : De Gruyter Mouton, 2015</subfield><subfield code="g">2(2016), 1 vom: 1. März</subfield><subfield code="w">(DE-627)NLEJ248236415</subfield><subfield code="w">(DE-600)2798614-7</subfield><subfield code="x">2199-174X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:2</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:1</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/lingvan-2015-0010</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DGR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">2</subfield><subfield code="j">2016</subfield><subfield code="e">1</subfield><subfield code="b">1</subfield><subfield code="c">3</subfield></datafield></record></collection>
|
| score |
7.4018393 |