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Unsupervised Training of an HMM-based Speech Recognizer for Topic Classification
Herb Gish , Center for Language and Speech Processing
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Oznake: computer science;machine learning;unsupervised learning
We address the problem of performing topic classification of speech when no transcriptions from the speech corpus of interest are available. The approach we take is one of incremental learning about the speech corpus starting with adaptive segmentation of the speech, leading to the generation of dis ...
Leto: 2008 Vir: videolectures.net
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