Spectral subtraction in noisy environments applied to speaker adaptation based on HMM sufficient statistics

@inproceedings{Yamade2002SpectralSI,
  title={Spectral subtraction in noisy environments applied to speaker adaptation based on HMM sufficient statistics},
  author={Shingo Yamade and Kanako Matsunami and Akira Baba and Akinobu Lee and Hiroshi Saruwatari and Kiyohiro Shikano},
  booktitle={INTERSPEECH},
  year={2002}
}
Noise and speaker adaptation techniques are essential to realize robust speech recognition in real noisy environments . In this paper, we applied spectral subtraction to an unsupervised speaker adaptation algorithm in noisy environments. The adaptation algorithm consists of the following five steps. (1) Spectral subtraction is carried out for noise added database. (2) Noise matched acoustic models are trained by using noise added speech database. (3) HMM sufficient statistics for each speaker… CONTINUE READING

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