• DOI:10.1109/TASL.2010.2041386
Corpus ID: 3117567

A Modeling of Singing Voice Robust to Accompaniment Sounds and Its Application to Singer Identification and Vocal-Timbre-Similarity-Based Music Information Retrieval

@article{Fujihara2010AMO,
  title={A Modeling of Singing Voice Robust to Accompaniment Sounds and Its Application to Singer Identification and Vocal-Timbre-Similarity-Based Music Information Retrieval},
  author={Hiromasa Fujihara and M. Goto and T. Kitahara and H. Okuno},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2010},
  volume={18},
  pages={638-648}
}

Hiromasa Fujihara, M. Goto, +1 author H. Okuno

Published 2010

Computer Science

IEEE Transactions on Audio, Speech, and Language Processing

This paper describes a method of modeling the characteristics of a singing voice from polyphonic musical audio signals including sounds of various musical instruments. Because singing voices play an important role in musical pieces with vocals, such representation is useful for music information retrieval systems. The main problem in modeling the characteristics of a singing voice is the negative influences caused by accompaniment sounds. To solve this problem, we developed two methods… CONTINUE READING

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