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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...
Lyric recognition in singing is challenging because of a number of problems, including a lack of singing databases, superposed musical instruments and different spectral variations. First of all, we investigated the difference of spectral variations among read speech, spontaneous speech and sung speech and we found that sung speech recognition was the most difficult. Next, we consider Japanese lyric...
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