Finding consensus in speech recognition: word error minimization and other applications of confusion networks
نویسندگان
چکیده
منابع مشابه
Finding consensus in speech recognition: word error minimization and other applications of confusion networks
We describe a new framework for distilling information from word lattices to improve the accuracy of speech recognition and obtain a more perspicuous representation of a set of alternative hypotheses. In the standard MAP decoding approach the recognizer outputs the string of words corresponding to the path with the highest posterior probability given the acoustics and a language model. However,...
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We describe a new algorithm for finding the hypothesis in a recognition lattice that is expected to minimize the word error rate (WER). Our approach thus overcomes the mismatch between the word-based performance metric and the standard MAP scoring paradigm that is sentence-based, and that can lead to sub-optimal recognition results. To this end we first find a complete alignment of all words in...
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ژورنال
عنوان ژورنال: Computer Speech & Language
سال: 2000
ISSN: 0885-2308
DOI: 10.1006/csla.2000.0152