Overview: Continuous Speech Recognition I
نویسنده
چکیده
The first paper, BBN1, presented by R.Schwartz, refreshingly started by recounting a series of experiments the first of which had not or only minimally, improved system performance. Algorithmic methods discussed included Linear Discriminant Analysis, Supervised Vector Quantization, Shared Mixture VQ, Deleted Estimation of Context Weights, MMI Estimation Using "N-Best" Alternatives, and Cross-Word Triphone Models. The last of these proved most effective in reducing word errors. Although not all of these methods have yet been combined into one system, the error rate on the May 1988 Resource Management test set (using word-pair grammar) has been halved.
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