Assessing the Effects of Delay to NMP via Audio Analysis

Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, wher...
Ausführliche Beschreibung

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Autor*in:	Tsioutas, Konstantinos [verfasserIn] Xylomenos, George

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	NMP QoE Audio delay Tempo

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: SN Computer Science - Singapore : Springer Singapore, 2020, 4(2022), 2 vom: 26. Dez.
Übergeordnetes Werk:	volume:4 ; year:2022 ; number:2 ; day:26 ; month:12

Links:	Volltext

DOI / URN:	10.1007/s42979-022-01555-6

Katalog-ID:	SPR049646133

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520			\|a Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians.
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allfields	10.1007/s42979-022-01555-6 doi (DE-627)SPR049646133 (SPR)s42979-022-01555-6-e DE-627 ger DE-627 rakwb eng Tsioutas, Konstantinos verfasserin aut Assessing the Effects of Delay to NMP via Audio Analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. NMP (dpeaa)DE-He213 QoE (dpeaa)DE-He213 Audio delay (dpeaa)DE-He213 Tempo (dpeaa)DE-He213 Xylomenos, George (orcid)0000-0003-2552-687X aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 4(2022), 2 vom: 26. Dez. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:4 year:2022 number:2 day:26 month:12 https://dx.doi.org/10.1007/s42979-022-01555-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2022 2 26 12
spelling	10.1007/s42979-022-01555-6 doi (DE-627)SPR049646133 (SPR)s42979-022-01555-6-e DE-627 ger DE-627 rakwb eng Tsioutas, Konstantinos verfasserin aut Assessing the Effects of Delay to NMP via Audio Analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. NMP (dpeaa)DE-He213 QoE (dpeaa)DE-He213 Audio delay (dpeaa)DE-He213 Tempo (dpeaa)DE-He213 Xylomenos, George (orcid)0000-0003-2552-687X aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 4(2022), 2 vom: 26. Dez. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:4 year:2022 number:2 day:26 month:12 https://dx.doi.org/10.1007/s42979-022-01555-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2022 2 26 12
allfields_unstemmed	10.1007/s42979-022-01555-6 doi (DE-627)SPR049646133 (SPR)s42979-022-01555-6-e DE-627 ger DE-627 rakwb eng Tsioutas, Konstantinos verfasserin aut Assessing the Effects of Delay to NMP via Audio Analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. NMP (dpeaa)DE-He213 QoE (dpeaa)DE-He213 Audio delay (dpeaa)DE-He213 Tempo (dpeaa)DE-He213 Xylomenos, George (orcid)0000-0003-2552-687X aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 4(2022), 2 vom: 26. Dez. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:4 year:2022 number:2 day:26 month:12 https://dx.doi.org/10.1007/s42979-022-01555-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2022 2 26 12
allfieldsGer	10.1007/s42979-022-01555-6 doi (DE-627)SPR049646133 (SPR)s42979-022-01555-6-e DE-627 ger DE-627 rakwb eng Tsioutas, Konstantinos verfasserin aut Assessing the Effects of Delay to NMP via Audio Analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. NMP (dpeaa)DE-He213 QoE (dpeaa)DE-He213 Audio delay (dpeaa)DE-He213 Tempo (dpeaa)DE-He213 Xylomenos, George (orcid)0000-0003-2552-687X aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 4(2022), 2 vom: 26. Dez. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:4 year:2022 number:2 day:26 month:12 https://dx.doi.org/10.1007/s42979-022-01555-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2022 2 26 12
allfieldsSound	10.1007/s42979-022-01555-6 doi (DE-627)SPR049646133 (SPR)s42979-022-01555-6-e DE-627 ger DE-627 rakwb eng Tsioutas, Konstantinos verfasserin aut Assessing the Effects of Delay to NMP via Audio Analysis 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. NMP (dpeaa)DE-He213 QoE (dpeaa)DE-He213 Audio delay (dpeaa)DE-He213 Tempo (dpeaa)DE-He213 Xylomenos, George (orcid)0000-0003-2552-687X aut Enthalten in SN Computer Science Singapore : Springer Singapore, 2020 4(2022), 2 vom: 26. Dez. (DE-627)1668832976 (DE-600)2977367-2 2661-8907 nnns volume:4 year:2022 number:2 day:26 month:12 https://dx.doi.org/10.1007/s42979-022-01555-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2022 2 26 12
language	English
source	Enthalten in SN Computer Science 4(2022), 2 vom: 26. Dez. volume:4 year:2022 number:2 day:26 month:12
sourceStr	Enthalten in SN Computer Science 4(2022), 2 vom: 26. Dez. volume:4 year:2022 number:2 day:26 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	NMP QoE Audio delay Tempo
isfreeaccess_bool	false
container_title	SN Computer Science
authorswithroles_txt_mv	Tsioutas, Konstantinos @@aut@@ Xylomenos, George @@aut@@
publishDateDaySort_date	2022-12-26T00:00:00Z
hierarchy_top_id	1668832976
id	SPR049646133
language_de	englisch
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spellingShingle	Tsioutas, Konstantinos misc NMP misc QoE misc Audio delay misc Tempo Assessing the Effects of Delay to NMP via Audio Analysis
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topic_title	Assessing the Effects of Delay to NMP via Audio Analysis NMP (dpeaa)DE-He213 QoE (dpeaa)DE-He213 Audio delay (dpeaa)DE-He213 Tempo (dpeaa)DE-He213
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title	Assessing the Effects of Delay to NMP via Audio Analysis
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title_full	Assessing the Effects of Delay to NMP via Audio Analysis
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title_sort	assessing the effects of delay to nmp via audio analysis
title_auth	Assessing the Effects of Delay to NMP via Audio Analysis
abstract	Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. In this paper, we complement the subjective study with an analysis of the performance tempo of the NMP sessions. Specifically, we used signal processing techniques to analyze the audio recordings of the experiments, to recover the performance tempo of the musicians, assess its evolution during each session, and correlate it with the underlying delay. The results of the analysis indicate that musicians in real NMP settings are more tolerant to delay than previously thought, managing to reach and maintain a steady tempo even with one-way delays of 40 ms. We also study how the performance tempo is related to delay, finding that the exact relationship between the two depends on the musicians. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Assessing the Effects of Delay to NMP via Audio Analysis
url	https://dx.doi.org/10.1007/s42979-022-01555-6
remote_bool	true
author2	Xylomenos, George
author2Str	Xylomenos, George
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doi_str	10.1007/s42979-022-01555-6
up_date	2024-07-04T01:41:42.470Z
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract For network music performance (NMP), end-to-end delay is the most critical factor affecting the quality of experience (QoE) of the musicians, as longer delays prevent the musicians from synchronizing. To analyze the sensitivity of QoE to delay, we performed a controlled NMP experiment, where 11 pairs of musicians performed under a wide range of delays. The analysis of the QoE questionnaires answered by the participants produced results with wide variances, making the extraction of solid conclusions quite difficult. 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