An application of discriminative feature extraction to filter-bank-based speech recognition.

A pattern recognizer is usually a modular system which consists of a feature extractor module and a classifier module. Traditionally, these two modules have been designed separately, which may not result in an optimal recognition accuracy. To alleviate this fundamental problem, the authors have deve...

詳細記述

書誌詳細

出版年:	IEEE Transactions on speech and audio processing 9, 2 (2001).
第一著者:	Biem, A.
フォーマット:	論文
言語:	English
主題:	Classifier module. Discriminative feature extraction. Feature extractor module. Filter-bank-based speech recognition. Modular system. Multi-prototype distance classifier. Pattern recognizer. Recognition errors minimisation. Recognition-oriented analysis.