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The voice quality (identity) of singing voices is usually fixed in each singer. To overcome this limitation and enable singers to freely change their voice quality using signal-processing technologies, we propose a singing voice conversion method based on many-to-many eigenvoice conversion (EVC) that can convert the voice quality of an arbitrary source singer into that of another arbitrary target...
This paper presents a Bayesian method for temporally aligning a music score and an audio rendition. A critical problem in audio-to-score alignment is in dealing with the wide variety of timbre and volume of the audio rendition. In contrast with existing works that achieve this through ad-hoc feature design or careful training of tone models, we propose a Bayesian audio-to-score alignment method by...
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