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A linked-hmm model for robust voicing and speech detection (2003).
| Content Provider | CiteSeerX |
|---|---|
| Author | Basu, Sumit |
| Description | This paper is published in Proceedings Of The Ieee Conference On Acoustics, Speech, And Signal Processing (ICASSP 2003) |
| Abstract | We present a novel method for simultaneous voicing and speech detection based on a linked-HMM architecture, with robust features that are independent of the signal energy. Because this approach models the change in dynamics between speech and non-speech regions, it is robust to low sampling rates, significant levels of additive noise, and large distances from the microphone. We demonstrate the performance of our method in a variety of testing conditions and also compare it to other methods reported in the literature. |
| File Format | |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | Non-speech Region Robust Feature Additive Noise Significant Level Linked-hmm Architecture Low Sampling Rate Large Distance Approach Model Novel Method Simultaneous Voicing Speech Detection Signal Energy |
| Content Type | Text |
