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This paper proposes using tandem DBN approach - a hierarchical architecture that consists of two or more deep belief networks (DBNs) in tandem manner - for phoneme recognition task on TIMIT. First we describe the standard DBN approach applied in phoneme recognition and discuss the motivation of combining it with tandem classifier approach. We then perform(More)
Grapheme-to-phoneme conversion (G2P) is a crucial step for Mandarin text-to-speech (TTS) synthesis, where homograph disambiguation is the core issue. Several machine learning algorithms have been proposed to solve the issue by building models from well annotated training corpus. However, the preparation of such well annotated corpus is very laboring and(More)
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