Analysis of breathy voice based on excitation characteristics of speech production
The objective of this paper is to find the fundamental difference between breathy and modal voices based on differences in speech production as reflected in the signal. We propose signal processing methods for analyzing the phonation in breathy voice. These methods include technique of zero-frequenc...
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| creator | Thati, S. A. Bollepalli, B. Bhaskararao, P. Yegnanarayana, B. |
| description | The objective of this paper is to find the fundamental difference between breathy and modal voices based on differences in speech production as reflected in the signal. We propose signal processing methods for analyzing the phonation in breathy voice. These methods include technique of zero-frequency filtering, loudness measurement, computation of periodic to aperiodic energy ratio and extraction of formants and their amplitudes using group-delay based technique. Parameters derived using these methods capture the excitation source characteristics which play a prominent role in deciding the voice quality. Classification of vowels into breathy or modal voice is achieved with an accuracy of 93.93% using the loudness measure. |
| doi_str_mv | 10.1109/SPCOM.2012.6290015 |
| format | Conference Proceeding |
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A. ; Bollepalli, B. ; Bhaskararao, P. ; Yegnanarayana, B.</creator><creatorcontrib>Thati, S. A. ; Bollepalli, B. ; Bhaskararao, P. ; Yegnanarayana, B.</creatorcontrib><description>The objective of this paper is to find the fundamental difference between breathy and modal voices based on differences in speech production as reflected in the signal. We propose signal processing methods for analyzing the phonation in breathy voice. These methods include technique of zero-frequency filtering, loudness measurement, computation of periodic to aperiodic energy ratio and extraction of formants and their amplitudes using group-delay based technique. Parameters derived using these methods capture the excitation source characteristics which play a prominent role in deciding the voice quality. 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A.</creatorcontrib><creatorcontrib>Bollepalli, B.</creatorcontrib><creatorcontrib>Bhaskararao, P.</creatorcontrib><creatorcontrib>Yegnanarayana, B.</creatorcontrib><title>Analysis of breathy voice based on excitation characteristics of speech production</title><title>2012 International Conference on Signal Processing and Communications (SPCOM)</title><addtitle>SPCOM</addtitle><description>The objective of this paper is to find the fundamental difference between breathy and modal voices based on differences in speech production as reflected in the signal. We propose signal processing methods for analyzing the phonation in breathy voice. These methods include technique of zero-frequency filtering, loudness measurement, computation of periodic to aperiodic energy ratio and extraction of formants and their amplitudes using group-delay based technique. Parameters derived using these methods capture the excitation source characteristics which play a prominent role in deciding the voice quality. Classification of vowels into breathy or modal voice is achieved with an accuracy of 93.93% using the loudness measure.</description><subject>Acoustic measurements</subject><subject>Acoustics</subject><subject>Breathy voice</subject><subject>excitation characteristics</subject><subject>Harmonic analysis</subject><subject>loudness measure</subject><subject>modal voice</subject><subject>Muscles</subject><subject>Noise</subject><subject>PAP</subject><subject>Production</subject><subject>Speech</subject><subject>zero-frequency filtering</subject><issn>2165-0608</issn><issn>2693-3616</issn><isbn>1467320137</isbn><isbn>9781467320139</isbn><isbn>9781467320122</isbn><isbn>1467320129</isbn><isbn>1467320145</isbn><isbn>9781467320146</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1OwzAQhM2fRCl5Abj4BRK8tmPHxyqigFRURLlXjrNRjEoT2QGRtyeFMpddzbezhyHkBlgGwMzd5qVcP2ecAc8UN4xBfkISowuQSouDzU_JjCsjUqFAnZGrfyD0-QRA5SlTrLgkSYzvbNIU5bmYkdfF3u7G6CPtGloFtEM70q_OO6SVjVjTbk_x2_nBDn5aXWuDdQMGHwfvfkOxR3Qt7UNXf7rD0TW5aOwuYnKcc7JZ3r-Vj-lq_fBULlapN2xIBUBjNVTgUEqnGDKnOQiljFVO1FCbuuIFhxwqkXMjpZUSteVCSwOSiTm5_fvqEXHbB_9hw7g9liN-AHXAU90</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Thati, S. A.</creator><creator>Bollepalli, B.</creator><creator>Bhaskararao, P.</creator><creator>Yegnanarayana, B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201207</creationdate><title>Analysis of breathy voice based on excitation characteristics of speech production</title><author>Thati, S. A. ; Bollepalli, B. ; Bhaskararao, P. ; Yegnanarayana, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-311fa71b1ce44c60e0c7213669a6c3d1d9db282151b352944a44e7a237491403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Acoustic measurements</topic><topic>Acoustics</topic><topic>Breathy voice</topic><topic>excitation characteristics</topic><topic>Harmonic analysis</topic><topic>loudness measure</topic><topic>modal voice</topic><topic>Muscles</topic><topic>Noise</topic><topic>PAP</topic><topic>Production</topic><topic>Speech</topic><topic>zero-frequency filtering</topic><toplevel>online_resources</toplevel><creatorcontrib>Thati, S. A.</creatorcontrib><creatorcontrib>Bollepalli, B.</creatorcontrib><creatorcontrib>Bhaskararao, P.</creatorcontrib><creatorcontrib>Yegnanarayana, B.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thati, S. A.</au><au>Bollepalli, B.</au><au>Bhaskararao, P.</au><au>Yegnanarayana, B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Analysis of breathy voice based on excitation characteristics of speech production</atitle><btitle>2012 International Conference on Signal Processing and Communications (SPCOM)</btitle><stitle>SPCOM</stitle><date>2012-07</date><risdate>2012</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2165-0608</issn><eissn>2693-3616</eissn><isbn>1467320137</isbn><isbn>9781467320139</isbn><eisbn>9781467320122</eisbn><eisbn>1467320129</eisbn><eisbn>1467320145</eisbn><eisbn>9781467320146</eisbn><abstract>The objective of this paper is to find the fundamental difference between breathy and modal voices based on differences in speech production as reflected in the signal. We propose signal processing methods for analyzing the phonation in breathy voice. These methods include technique of zero-frequency filtering, loudness measurement, computation of periodic to aperiodic energy ratio and extraction of formants and their amplitudes using group-delay based technique. Parameters derived using these methods capture the excitation source characteristics which play a prominent role in deciding the voice quality. Classification of vowels into breathy or modal voice is achieved with an accuracy of 93.93% using the loudness measure.</abstract><pub>IEEE</pub><doi>10.1109/SPCOM.2012.6290015</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2012 International Conference on Signal Processing and Communications (SPCOM), 2012, p.1-5 |
| issn | 2165-0608 2693-3616 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acoustic measurements Acoustics Breathy voice excitation characteristics Harmonic analysis loudness measure modal voice Muscles Noise PAP Production Speech zero-frequency filtering |
| title | Analysis of breathy voice based on excitation characteristics of speech production |
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