Time-frequency distributions for automatic speech recognition.

The use of general time-frequency distributions as features for automatic speech recognition (ASR) is discussed in the context of hidden Markov classifiers. Short-time averages of quadratic operators, e.g., energy spectrum, generalized first spectral moments, and short-time averages of the instantan...

詳細記述

書誌詳細

出版年:	IEEE Transactions on speech and audio processing 9, 3 (2001).
第一著者:	Potamianos, A.
フォーマット:	論文
言語:	English
主題:	Automatic speech recognition. Energy spectrum. Feature sets. Front end features. Generalized first spectral moments. Hidden Markov classifiers. Instantaneous frequency. Quadratic operators. Short-time averages. Spectral moments. Time-frequency distributions.