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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Araki, S. Sawada, H. Makino, S. |
| Copyright Year | 2007 |
| Description | Author affiliation: NTT Commun. Sci. Lab., NTT Corp., Tokyo (Araki, S.; Sawada, H.; Makino, S.) |
| Abstract | We propose a speech separation method for a meeting situation, where each speaker sometimes speaks and the number of speakers changes every moment. Many source separation methods have already been proposed, however, they consider a case where all the speakers keep speaking: this is not always true in a real meeting. In such cases, in addition to separation, speech detection and the classification of the detected speech according to speaker become important issues. For that purpose, we propose a method that employs a maximum signal-to-noise (MaxSNR) beamformer combined with a voice activity detector and online clustering. We also discuss the scaling ambiguity problem as regards the MaxSNR beamformer, and provide their solutions. We report some encouraging results for a real meeting in a room with a reverberation time of about 350 ms. |
| File Size | 4501309 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.366611 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech Interference Reverberation Information science Wideband Proposals Time frequency analysis Fourier transforms Frequency response Frequency conversion online clustering Speech separation maximum SNR beamformer scaling ambiguity voice activity detector |
| Content Type | Text |
| Resource Type | Article |
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