Unsupervised training of an HMM-based speech recognizer for topic classification

Abstract

HMM-based Speech-To-Text (STT) systems are widely deployed not only for dictation tasks but also as the first processing stage of many automatic speech applications such as spoken topic classification. However, the necessity of transcribed data for training the HMMs precludes its use in domains where transcribed speech is difficult to come by because of the… (More)

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