Acoustic Model Adaptation Using First-Order Linear Prediction for Reverberant Speech

@article{Takiguchi2006AcousticMA,
  title={Acoustic Model Adaptation Using First-Order Linear Prediction for Reverberant Speech},
  author={Tetsuya Takiguchi and Masafumi Nishimura and Yasuo Ariki},
  journal={IEICE Transactions},
  year={2006},
  volume={89-D},
  pages={908-914}
}
This paper describes a hands-free speech recognition technique based on acoustic model adaptation to reverberant speech. In handsfree 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… CONTINUE READING
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