An analysis of vector Taylor series model compensation for non-stationary noise in speech recognition
In this paper, we investigate a feature conditioning method for the VTS-based model compensation. The VTS is a technique that predicts noisy acoustic model from clean acoustic model and noise model. It is noted that most of the previous studies use a single Gaussian noise model, which is unable to m...
| 主要な著者: | , , , |
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| その他の著者: | |
| フォーマット: | Conference Paper |
| 言語: | English |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/97488 http://hdl.handle.net/10220/11868 |