Abstract
A novel method is described that can be used to recognize the phoneme of a singing voice (vocal) in polyphonic music. Though we focus on the voiced phoneme in this paper, this method is design to concurrently recognize other elements of a singing voice such as fundamental frequency and singer. Thus, this method is considered to be a new framework for recognizing a singing voice in polyphonic music. Our method stochastically models a mixture of a singing voice and other instrumental sounds without segregating the singing voice. It can also estimate a reliable spectral envelope by estimating it from many harmonic structures with various fundamental frequencies (F0s). The results of phoneme recognition experiments with 10 popular-music songs by 6 singers showed that our method improves the recognition accuracy by 8.7 points and achieves a 20.0% decrease in error rate.
| Original language | English |
|---|---|
| Title of host publication | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics |
| Pages | 17-20 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 - New Paltz, NY Duration: 2009 Oct 18 → 2009 Oct 21 |
Other
| Other | 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 |
|---|---|
| City | New Paltz, NY |
| Period | 09/10/18 → 09/10/21 |
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Keywords
- Mixture of experts
- Phoneme recognition
- Singing voice
- Spectral modeling
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
Cite this
A novel framework for recognizing phonemes of singing voice in polyphonic music. / Fujihara, Hiromasa; Goto, Masataka; Okuno, Hiroshi G.
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. 2009. p. 17-20 5346497.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A novel framework for recognizing phonemes of singing voice in polyphonic music
AU - Fujihara, Hiromasa
AU - Goto, Masataka
AU - Okuno, Hiroshi G.
PY - 2009
Y1 - 2009
N2 - A novel method is described that can be used to recognize the phoneme of a singing voice (vocal) in polyphonic music. Though we focus on the voiced phoneme in this paper, this method is design to concurrently recognize other elements of a singing voice such as fundamental frequency and singer. Thus, this method is considered to be a new framework for recognizing a singing voice in polyphonic music. Our method stochastically models a mixture of a singing voice and other instrumental sounds without segregating the singing voice. It can also estimate a reliable spectral envelope by estimating it from many harmonic structures with various fundamental frequencies (F0s). The results of phoneme recognition experiments with 10 popular-music songs by 6 singers showed that our method improves the recognition accuracy by 8.7 points and achieves a 20.0% decrease in error rate.
AB - A novel method is described that can be used to recognize the phoneme of a singing voice (vocal) in polyphonic music. Though we focus on the voiced phoneme in this paper, this method is design to concurrently recognize other elements of a singing voice such as fundamental frequency and singer. Thus, this method is considered to be a new framework for recognizing a singing voice in polyphonic music. Our method stochastically models a mixture of a singing voice and other instrumental sounds without segregating the singing voice. It can also estimate a reliable spectral envelope by estimating it from many harmonic structures with various fundamental frequencies (F0s). The results of phoneme recognition experiments with 10 popular-music songs by 6 singers showed that our method improves the recognition accuracy by 8.7 points and achieves a 20.0% decrease in error rate.
KW - Mixture of experts
KW - Phoneme recognition
KW - Singing voice
KW - Spectral modeling
UR - http://www.scopus.com/inward/record.url?scp=77950181219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950181219&partnerID=8YFLogxK
U2 - 10.1109/ASPAA.2009.5346497
DO - 10.1109/ASPAA.2009.5346497
M3 - Conference contribution
SN - 9781424436798
SP - 17
EP - 20
BT - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
ER -