Towards effective singing voice extraction from stereophonic recordings

Stratis Sofianos; A. Ariyaeeinia; R. Polfreman

doi:10.1109/ICASSP.2010.5496004

Towards effective singing voice extraction from stereophonic recordings

Stratis Sofianos, A. Ariyaeeinia, R. Polfreman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

99 Downloads (Pure)

Abstract

Extracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singing melody extraction. In this paper, we present a hybrid approach for this purpose, which combines properties of the Azimuth Discrimination and Resynthesis (ADRess) method with Independent Component Analysis (ICA). Our proposed approach is developed specifically for the case of singing voice separation from stereophonic recordings. The paper presents the characteristics of the proposed method and details an objective evaluation of its effectiveness.

Original language	English
Title of host publication	IEEE Int Conf on Acoustics Speech and Signal Processing
Subtitle of host publication	ICASSP 2010
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	233-236
ISBN (Print)	978-1-4244-4296-6
DOIs	https://doi.org/10.1109/ICASSP.2010.5496004
Publication status	Published - 2010

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@inproceedings{5bddc68e8ecb4e79b2845e57efe704b5,

title = "Towards effective singing voice extraction from stereophonic recordings",

abstract = "Extracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singing melody extraction. In this paper, we present a hybrid approach for this purpose, which combines properties of the Azimuth Discrimination and Resynthesis (ADRess) method with Independent Component Analysis (ICA). Our proposed approach is developed specifically for the case of singing voice separation from stereophonic recordings. The paper presents the characteristics of the proposed method and details an objective evaluation of its effectiveness.",

author = "Stratis Sofianos and A. Ariyaeeinia and R. Polfreman",

note = "“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"} “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”",

year = "2010",

doi = "10.1109/ICASSP.2010.5496004",

language = "English",

isbn = "978-1-4244-4296-6",

pages = "233--236",

booktitle = "IEEE Int Conf on Acoustics Speech and Signal Processing",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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TY - GEN

T1 - Towards effective singing voice extraction from stereophonic recordings

AU - Sofianos, Stratis

AU - Ariyaeeinia, A.

AU - Polfreman, R.

N1 - “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

PY - 2010

Y1 - 2010

N2 - Extracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singing melody extraction. In this paper, we present a hybrid approach for this purpose, which combines properties of the Azimuth Discrimination and Resynthesis (ADRess) method with Independent Component Analysis (ICA). Our proposed approach is developed specifically for the case of singing voice separation from stereophonic recordings. The paper presents the characteristics of the proposed method and details an objective evaluation of its effectiveness.

AB - Extracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singing melody extraction. In this paper, we present a hybrid approach for this purpose, which combines properties of the Azimuth Discrimination and Resynthesis (ADRess) method with Independent Component Analysis (ICA). Our proposed approach is developed specifically for the case of singing voice separation from stereophonic recordings. The paper presents the characteristics of the proposed method and details an objective evaluation of its effectiveness.

U2 - 10.1109/ICASSP.2010.5496004

DO - 10.1109/ICASSP.2010.5496004

M3 - Conference contribution

SN - 978-1-4244-4296-6

SP - 233

EP - 236

BT - IEEE Int Conf on Acoustics Speech and Signal Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Towards effective singing voice extraction from stereophonic recordings

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