Abstract
Speaker recognition is used today in a wide range of applications. The presence of reverberation, in hands-free systems for example, results in performance degradation. The effect of reverberation on the feature vectors and its relation to optimal GMM order are investigated. Optimal model order is calculated in terms of minimum BIC and KIC, and tested for EER of a GMM-based speaker recognition system. Experimental results show that for high reverberation time, reducing model order reduces EER values of speaker recognition. The effect of CMS on state of the art GMM and AGMM-based speaker recognition systems is investigated for reverberant speech. Results show that high reverberation time reduces the effectiveness of CMS.
| Original language | English GB |
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| Pages | 144-147 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 3 Sep 2008 |
| Event | 2008 Hands-free Speech Communication and Microphone Arrays, HSCMA 2008 - Trento, Italy Duration: 6 May 2008 → 8 May 2008 |
Conference
| Conference | 2008 Hands-free Speech Communication and Microphone Arrays, HSCMA 2008 |
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| Country/Territory | Italy |
| City | Trento |
| Period | 6/05/08 → 8/05/08 |
Keywords
- Cepstral mean subtraction
- Gaussian mixture model
- Model order
- Reverberation
- Speaker recognition
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering
- Communication