Environmental Adaptation for Robust Speech Recognition

  title={Environmental Adaptation for Robust Speech Recognition},
  author={Fu-Hua Liu June},
  • Fu-Hua Liu June
  • Published 1994
Lack of robustness with respect to environmental variability is a continuing problem for speech recognition. Many studies have shown that automatic speech recognition systems perform poorly when there are differences in the acoustics of the training and testing environment. Several approaches have previously been considered to compensate for environmental variability, including techniques based on autoregressive analysis, the use of auditory models, and the use of array processing, among many… CONTINUE READING


Publications citing this paper.
Showing 1-10 of 14 extracted citations


Publications referenced by this paper.
Showing 1-4 of 4 references

Adaptive Array Processing for Multiple Microphone Hearing Aids

P. Peterson
Ph.D. Thesis, Massachusetts Institute of Technology, • 1989

Speaker Adaptation in a Large Vocabulary Speech Recognition System

D. Rtischev
M.S. Thesis, • 1989

Similar Papers

Loading similar papers…