Acoustic modeling of subword units for speech recognition
- 4 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Acoustic modeling method of basic speech subword units are discussed to provide high word recognition accuracy. It is shown that for a basic set of 47 context-independent phone-like units, word accuracies on the order of 86-90% can be obtained for a 1000-word vocabulary, in a speaker-independent mode, for a grammar with a perplexity of 60, on independent test sets. When the basic set of units is increased to include context-dependent units, word recognition accuracies of from 91 to 93% can be achieved on the same test sets. Based on outside results and some of the present ones, it is possible to increase word recognition accuracies by about 2-3% using known modeling techniques Author(s) Chin-Hui Lee AT&T Bell Lab., Murray Hill, NJ, USA Rabiner, L. ; Pieraccini, R. ; Wilpon, J.Keywords
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