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            | %0 Conference Proceedings %A Gong, Rong
 %A Cuvillier, Philippe
 %A Obin, Nicolas
 %A Cont, Arshia
 %T Real-Time Audio-to-Score Alignment of Singing Voice Based on Melody and Lyric Information
 %D 2015
 %B Interspeech
 %C Dresden
 %F Gong15a
 %K singing voice
 %K  real-time audio-to-score alignment
 %K  lyrics
 %K  spectral envelope
 %K  information fusion
 %K  singer adaptation
 %X Singing voice is specific in music: a vocal performance conveys both music (melody/pitch) and lyrics (text/phoneme) content. This paper aims at exploiting the advantages of melody and lyric information for real-time audio-to-score alignment of singing voice. First, lyrics are added as a separate observation stream into a template-based hidden semi-Markov model (HSMM), whose observation model is based on the construction of vowel templates. Second, early and late fusion of melody and lyric information are processed during real-time audio-to-score alignment. An experiment conducted with two professional singers (male/female) shows that the performance of a lyrics-based system is comparable to that of melody-based score following systems. Furthermore, late fusion of melody and lyric information substantially improves the alignment performance. Finally, maximum a posteriori adaptation (MAP) of the vowel templates from one singer to the other suggests that lyric information can be efficiently used for any singer.
 %1 6
 %2 2
 %U http://architexte.ircam.fr/textes/Gong15a/
 
 
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