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Hearing Is Believing: Biologically Inspired Methods for Robust Automatic Speech Recognition

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2 Author(s)
Stern, R.M. ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Morgan, N.

The feature extraction stage of speech recognition is important historically and is the subject of much current research, particularly to promote robustness to acoustic disturbances such as additive noise and reverberation. Biologically inspired and biologically related approaches are an important subset of feature extraction methods for ASR.

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Signal Processing Magazine, IEEE  (Volume:29 ,  Issue: 6 )