An isolated speech endpoint detector using multiple speech features
Energy and zero crossing rate of the speech signal have been the two most widely used features for detecting the endpoints of an utterance. This paper proposed a new approach for locating the endpoint for isolated speech, which significantly improve the endpoint detector performance. The proposed al...
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| Format: | Book Section |
| Language: | en |
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IEEE
2004
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| Online Access: | http://eprints.utm.my/9804/1/AbdulMananAhmad2004_an_isolated_speech_endpoint_detector.pdf http://eprints.utm.my/9804/ |
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| _version_ | 1845472241738842112 |
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| author | Ahmad, Abdul Manan Goh, Kia Eng Mohamed Shaharoun, Awaluddin Tan, Chiu Yeek Jarni, Muhamad Hafiz |
| author_facet | Ahmad, Abdul Manan Goh, Kia Eng Mohamed Shaharoun, Awaluddin Tan, Chiu Yeek Jarni, Muhamad Hafiz |
| author_sort | Ahmad, Abdul Manan |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Energy and zero crossing rate of the speech signal have been the two most widely used features for detecting the endpoints of an utterance. This paper proposed a new approach for locating the endpoint for isolated speech, which significantly improve the endpoint detector performance. The proposed algorithm relies on multiple speech features: root mean square energy (rmse), zero crossing rate (zcr) and cepstral coefficient (cepstrum) where the Euclidean distance measure is adopted to accurately detect the endpoint of an isolated utterance. This algorithm offers better performance than conventional algorithm which using energy only. The vocabulary for the experiment includes English digit from 1 to 9. These experimental results were conducted by 360 utterances from a male speaker. Experimental results show that the accuracy of the algorithm is quite acceptable. |
| format | Book Section |
| id | my.utm.eprints-9804 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2004 |
| publisher | IEEE |
| record_format | eprints |
| spelling | my.utm.eprints-98042011-03-07T07:28:41Z http://eprints.utm.my/9804/ An isolated speech endpoint detector using multiple speech features Ahmad, Abdul Manan Goh, Kia Eng Mohamed Shaharoun, Awaluddin Tan, Chiu Yeek Jarni, Muhamad Hafiz QA75 Electronic computers. Computer science Energy and zero crossing rate of the speech signal have been the two most widely used features for detecting the endpoints of an utterance. This paper proposed a new approach for locating the endpoint for isolated speech, which significantly improve the endpoint detector performance. The proposed algorithm relies on multiple speech features: root mean square energy (rmse), zero crossing rate (zcr) and cepstral coefficient (cepstrum) where the Euclidean distance measure is adopted to accurately detect the endpoint of an isolated utterance. This algorithm offers better performance than conventional algorithm which using energy only. The vocabulary for the experiment includes English digit from 1 to 9. These experimental results were conducted by 360 utterances from a male speaker. Experimental results show that the accuracy of the algorithm is quite acceptable. IEEE 2004-11-21 Book Section PeerReviewed application/pdf en http://eprints.utm.my/9804/1/AbdulMananAhmad2004_an_isolated_speech_endpoint_detector.pdf Ahmad, Abdul Manan and Goh, Kia Eng and Mohamed Shaharoun, Awaluddin and Tan, Chiu Yeek and Jarni, Muhamad Hafiz (2004) An isolated speech endpoint detector using multiple speech features. In: Tencon 2004 - 2004 IEEE Region 10 Conference, Vols A-D, Proceedings - Analog And Digital Techniques in Electrical Engineering. TENCON-IEEE Region 10 Conference Proceedings, B . IEEE, USA, pp. 403-406. ISBN 0-7803-8560-8 10.1109/TENCON.2004.1414617 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad, Abdul Manan Goh, Kia Eng Mohamed Shaharoun, Awaluddin Tan, Chiu Yeek Jarni, Muhamad Hafiz An isolated speech endpoint detector using multiple speech features |
| title | An isolated speech endpoint detector using multiple speech features |
| title_full | An isolated speech endpoint detector using multiple speech features |
| title_fullStr | An isolated speech endpoint detector using multiple speech features |
| title_full_unstemmed | An isolated speech endpoint detector using multiple speech features |
| title_short | An isolated speech endpoint detector using multiple speech features |
| title_sort | isolated speech endpoint detector using multiple speech features |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9804/1/AbdulMananAhmad2004_an_isolated_speech_endpoint_detector.pdf http://eprints.utm.my/9804/ |
| url_provider | http://eprints.utm.my/ |