AN INTEGRATED FRAMEWORK FOR MULTI-CHANNEL MULTI-SOURCE LOCALIZATION AND VOICE ACTIVITY DETECTION
| Type of publication: | Idiap-RR |
| Citation: | Taghizadeh_Idiap-RR-16-2011 |
| Number: | Idiap-RR-16-2011 |
| Year: | 2011 |
| Month: | 6 |
| Institution: | Idiap |
| Abstract: | Two of the major challenges in microphone array based adap- tive beamforming, speech enhancement and distant speech recognition, are robust and accurate source localization and voice activity detection. This paper introduces a spatial gra- dient steered response power using the phase transform (SRP- PHAT) method which is capable of localization of competing speakers in overlapping conditions. We further investigate the behavior of the SRP function and characterize theoretically a fixed point in its search space for the diffuse noise field. We call this fixed point the null position in the SRP search space. Building on this evidence, we propose a technique for multi- channel voice activity detection (MVAD) based on detection of a maximum power corresponding to the null position. The gradient SRP-PHAT in tandem with the MVAD form an inte- grated framework of multi-source localization and voice ac- tivity detection. The experiments carried out on real data recordings show that this framework is very effective in prac- tical applications of hands-free communication. |
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| Projects |
Idiap IM2 |
| Authors | |
| Crossref by |
Taghizadeh_HSCMA_2011 |
| Added by: | [ADM] |
| Total mark: | 0 |
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