University of Hertfordshire

By the same authors

Towards effective singing voice extraction from stereophonic recordings

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Towards effective singing voice extraction from stereophonic recordings. / Sofianos, Stratis; Ariyaeeinia, A.; Polfreman, R.

IEEE Int Conf on Acoustics Speech and Signal Processing: ICASSP 2010. IEEE, 2010. p. 233-236.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Sofianos, S, Ariyaeeinia, A & Polfreman, R 2010, Towards effective singing voice extraction from stereophonic recordings. in IEEE Int Conf on Acoustics Speech and Signal Processing: ICASSP 2010. IEEE, pp. 233-236. https://doi.org/10.1109/ICASSP.2010.5496004

APA

Sofianos, S., Ariyaeeinia, A., & Polfreman, R. (2010). Towards effective singing voice extraction from stereophonic recordings. In IEEE Int Conf on Acoustics Speech and Signal Processing: ICASSP 2010 (pp. 233-236). IEEE. https://doi.org/10.1109/ICASSP.2010.5496004

Vancouver

Sofianos S, Ariyaeeinia A, Polfreman R. Towards effective singing voice extraction from stereophonic recordings. In IEEE Int Conf on Acoustics Speech and Signal Processing: ICASSP 2010. IEEE. 2010. p. 233-236 https://doi.org/10.1109/ICASSP.2010.5496004

Author

Sofianos, Stratis ; Ariyaeeinia, A. ; Polfreman, R. / Towards effective singing voice extraction from stereophonic recordings. IEEE Int Conf on Acoustics Speech and Signal Processing: ICASSP 2010. IEEE, 2010. pp. 233-236

Bibtex

@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 = "IEEE",

}

RIS

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 - IEEE

ER -