Recognition of out-of-vocabulary words with sub-lexical language models
نویسنده
چکیده
A major source of recognition errors, out-of-vocabulary (OOV) words are also semantically important; recognizing them is, therefore, crucial for understanding. Success, so far, has been modest, even on very constrained tasks. In this paper we present a new approach to unlimited vocabulary speech recognition based on using graphemeto-phoneme correspondences for sub-lexical modeling of OOV words, and also some very encouraging results we obtained with our approach on a large vocabulary speech recognition task.
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تاریخ انتشار 2003