Novel voice activity detection based on cepstrum moments
Statistical methods for voice activity detection (VAD) have shown impressive performance especially with respect to their ability to be tuned parametrically and adoptability with deferent environments. In this paper we propose a novel statistical VAD algorithm using Cepstrum coefficients and their m...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45790/ http://psasir.upm.edu.my/id/eprint/45790/1/Novel%20voice%20activity%20detection%20based%20on%20cepstrum%20moments.pdf |
| _version_ | 1848850538088628224 |
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| author | Farzan, Ali Nourmohammadi, Ali Mashohor, Syamsiah Sadra, Sarvin |
| author_facet | Farzan, Ali Nourmohammadi, Ali Mashohor, Syamsiah Sadra, Sarvin |
| author_sort | Farzan, Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Statistical methods for voice activity detection (VAD) have shown impressive performance especially with respect to their ability to be tuned parametrically and adoptability with deferent environments. In this paper we propose a novel statistical VAD algorithm using Cepstrum coefficients and their moments as features for classification. In this method, we use moment ratio of conversation part and silent part to evaluate a threshold measure for differentiating between silent and active (Speech) parts of conversation. To make it robust in noisy environments, we will gradually tune the threshold to adopt it with dynamic background noise. Simulation results show that our proposed method has good performance in noisy environments. |
| first_indexed | 2025-11-15T10:07:52Z |
| format | Conference or Workshop Item |
| id | upm-45790 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:07:52Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-457902020-08-10T02:19:22Z http://psasir.upm.edu.my/id/eprint/45790/ Novel voice activity detection based on cepstrum moments Farzan, Ali Nourmohammadi, Ali Mashohor, Syamsiah Sadra, Sarvin Statistical methods for voice activity detection (VAD) have shown impressive performance especially with respect to their ability to be tuned parametrically and adoptability with deferent environments. In this paper we propose a novel statistical VAD algorithm using Cepstrum coefficients and their moments as features for classification. In this method, we use moment ratio of conversation part and silent part to evaluate a threshold measure for differentiating between silent and active (Speech) parts of conversation. To make it robust in noisy environments, we will gradually tune the threshold to adopt it with dynamic background noise. Simulation results show that our proposed method has good performance in noisy environments. IEEE 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45790/1/Novel%20voice%20activity%20detection%20based%20on%20cepstrum%20moments.pdf Farzan, Ali and Nourmohammadi, Ali and Mashohor, Syamsiah and Sadra, Sarvin (2010) Novel voice activity detection based on cepstrum moments. In: 2nd International Conference on Computer and Automation Engineering (ICCAE 2010), 26-28 Feb. 2010, Singapore. (pp. 768-770). 10.1109/ICCAE.2010.5451357 |
| spellingShingle | Farzan, Ali Nourmohammadi, Ali Mashohor, Syamsiah Sadra, Sarvin Novel voice activity detection based on cepstrum moments |
| title | Novel voice activity detection based on cepstrum moments |
| title_full | Novel voice activity detection based on cepstrum moments |
| title_fullStr | Novel voice activity detection based on cepstrum moments |
| title_full_unstemmed | Novel voice activity detection based on cepstrum moments |
| title_short | Novel voice activity detection based on cepstrum moments |
| title_sort | novel voice activity detection based on cepstrum moments |
| url | http://psasir.upm.edu.my/id/eprint/45790/ http://psasir.upm.edu.my/id/eprint/45790/ http://psasir.upm.edu.my/id/eprint/45790/1/Novel%20voice%20activity%20detection%20based%20on%20cepstrum%20moments.pdf |