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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takiguchi, T. Nishimura, M. |
| Copyright Year | 2004 |
| Description | Author affiliation: Tokyo Res. Lab., IBM Japan Ltd., Japan (Takiguchi, T.; Nishimura, M.) |
| Abstract | The paper describes a hands-free speech recognition technique based on acoustic model adaptation to reverberant speech. In hands-free speech recognition, the recognition accuracy is degraded by reverberation, since each segment of speech is affected by the reflection energy of the preceding segment. To compensate for the reflection signal, we introduce a frame-by-frame adaptation method, adding the reflection signal to the means of the acoustic model. The reflection signal is approximated by a first-order linear prediction from the preceding frame, and the linear prediction coefficient is estimated by a maximum likelihood method by using the EM algorithm, which maximizes the likelihood of the adaptation data. Its effectiveness is confirmed by word recognition experiments on reverberant speech. |
| File Size | 273170 |
| File Format | |
| ISBN | 0780384849 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2004.1326124 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-17 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptation model Predictive models Hidden Markov models Speech recognition Acoustic reflection Reverberation Microphone arrays Cepstral analysis Degradation Acoustic distortion |
| Content Type | Text |
| Resource Type | Article |
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