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Conference Paper: MULTIVARIATE VOICING DECISION RULE ADAPTS TO NOISE, DISTORTION, AND SPECTRAL SHAPING.
| Title | MULTIVARIATE VOICING DECISION RULE ADAPTS TO NOISE, DISTORTION, AND SPECTRAL SHAPING. |
|---|---|
| Authors | |
| Issue Date | 1987 |
| Citation | Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1987, p. 197-200 How to Cite? |
| Abstract | An approach to making voiced/unvoiced decisions is presented. The technique is very accurate and dynamically adapts to a wide range of environments. Reliable decisions are achieved by using a weighted sum of multiple speech parameters. Instead of using discriminant analysis to determine the optimal weights, voiced and unvoiced frames are separated into two clusters by a multivariate clustering algorithm. Since cluster analysis requires no prior voicing information, the decision rule is computed from the incoming speech rather than from a training set. An adaptive clustering algorithm is derived which continuously adjusts the weights in response to changing speech characteristics. |
| Persistent Identifier | http://hdl.handle.net/10722/179566 |
| ISSN | 2023 SCImago Journal Rankings: 1.050 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Thomson, David L | en_US |
| dc.date.accessioned | 2012-12-19T09:59:53Z | - |
| dc.date.available | 2012-12-19T09:59:53Z | - |
| dc.date.issued | 1987 | en_US |
| dc.identifier.citation | Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1987, p. 197-200 | en_US |
| dc.identifier.issn | 0736-7791 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10722/179566 | - |
| dc.description.abstract | An approach to making voiced/unvoiced decisions is presented. The technique is very accurate and dynamically adapts to a wide range of environments. Reliable decisions are achieved by using a weighted sum of multiple speech parameters. Instead of using discriminant analysis to determine the optimal weights, voiced and unvoiced frames are separated into two clusters by a multivariate clustering algorithm. Since cluster analysis requires no prior voicing information, the decision rule is computed from the incoming speech rather than from a training set. An adaptive clustering algorithm is derived which continuously adjusts the weights in response to changing speech characteristics. | 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 | MULTIVARIATE VOICING DECISION RULE ADAPTS TO NOISE, DISTORTION, AND SPECTRAL SHAPING. | 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-s2.0-0023166886 | en_US |
| dc.identifier.spage | 197 | en_US |
| dc.identifier.epage | 200 | en_US |
| dc.identifier.scopusauthorid | Thomson, David L=7202586830 | en_US |
| dc.identifier.issnl | 0736-7791 | - |