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Conference Paper: Use of periodicity and jitter as speech recognition features
Title | Use of periodicity and jitter as speech recognition features |
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Authors | |
Issue Date | 1998 |
Citation | Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1998, v. 1, p. 21-24 How to Cite? |
Abstract | We investigate a class of features related to voicing parameters that indicate whether the vocal chords are vibrating. Features describing voicing characteristics of speech signals are integrated with an existing 38-dimensional feature vector consisting of first and second order time derivatives of the frame energy and of the cepstral coefficients with their first and second derivatives. HMM-based connected digit recognition experiments comparing the traditional and extended feature sets show that voicing features and spectral information are complementary and that improved speech recognition performance is obtained by combining the two sources of information. |
Persistent Identifier | http://hdl.handle.net/10722/179577 |
ISSN | 2023 SCImago Journal Rankings: 1.050 |
DC Field | Value | Language |
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dc.contributor.author | Thomson, David L | en_US |
dc.contributor.author | Chengalvarayan, Rathinavelu | en_US |
dc.date.accessioned | 2012-12-19T09:59:57Z | - |
dc.date.available | 2012-12-19T09:59:57Z | - |
dc.date.issued | 1998 | en_US |
dc.identifier.citation | Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1998, v. 1, p. 21-24 | en_US |
dc.identifier.issn | 0736-7791 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/179577 | - |
dc.description.abstract | We investigate a class of features related to voicing parameters that indicate whether the vocal chords are vibrating. Features describing voicing characteristics of speech signals are integrated with an existing 38-dimensional feature vector consisting of first and second order time derivatives of the frame energy and of the cepstral coefficients with their first and second derivatives. HMM-based connected digit recognition experiments comparing the traditional and extended feature sets show that voicing features and spectral information are complementary and that improved speech recognition performance is obtained by combining the two sources of information. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | en_US |
dc.title | Use of periodicity and jitter as speech recognition features | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Thomson, David L: dthomson@hku.hk | en_US |
dc.identifier.authority | Thomson, David L=rp00788 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0031643033 | en_US |
dc.identifier.volume | 1 | en_US |
dc.identifier.spage | 21 | en_US |
dc.identifier.epage | 24 | en_US |
dc.identifier.scopusauthorid | Thomson, David L=7202586830 | en_US |
dc.identifier.scopusauthorid | Chengalvarayan, Rathinavelu=6701843465 | en_US |
dc.identifier.issnl | 0736-7791 | - |