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One of the difficulties in sung speech recognition is the small distance in an acoustic space between phonemes in sung speech. Therefore we considered clustering the speech based on a pitch (fundamental frequency F0) and creating a larger distance between the phonemes. In addition, we considered a two-stage training method of DNN-HMM: the first stage is trained by using conventional acoustic features...
There is an increasing use of sensor networks capable of sensing multimedia data including audio data. Unfortunately, public use of these is not allowed because they contain crucial privacy information such as person and location names. Person name extraction (PNE), which is a widely investigated research topic, is an effective technique to resolve this problem. However, there is an important difference...
A topic dependent class (TDC) language model (LM) is a topic-based LM that uses a semantic extraction method to reveal latent topic information from noun-document relation. Then a clustering for a given context is performed to define topics. Finally, a fixed window of word history is observed to decide the topic of the current event through voting in online manner. Previously, we have shown that TDC...
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