Paper: Comparative Experiments On Large Vocabulary Speech Recognition

ACL ID H93-1015
Title Comparative Experiments On Large Vocabulary Speech Recognition
Venue Human Language Technologies
Session Main Conference
Year 1993
Authors

This paper describes several key experiments in large vocabu- lay speech recognition. We demonstrate that, counter to our intuitions, given a fixed amount of training speech, the num- ber of training speakers has little effect on the accuracy. We show how much speech is needed for speaker-independent (SI) recognition in order to achieve the same performance as speaker- dependent (SD) recognition. We demonstrate that, though the N-Best Paradigm works quite well up to vocabularies of 5,000 words, it begins to break down with 20,000 words and long sen- tences. We compare the performance of two feature preprocess- ing algorithms for microphone independence and we describe a new microphone adaptation algorithm based on selection among several codebook transformations.