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Separating the singing voice from accompanying instruments is important in music information-retrieval systems, since it allows for such applications as melody extraction, lyrics recognition, and singer identity. The authors investigate effective methods for unsupervised separation of the singing voice, called H-Semantics (Hybrid Singing Extraction through Multiband Amplitude Enhanced Thresholding and Independent Component Subtraction). The proposed method adds time-domain separation to the previous work that was based on frequency-domain cepstral methods. The results indicate separation of approximately 8.5 dB signal-to-distortion ratio over the baseline.
Author (s): Sofianos, Stratis; Ariyaeeinia, Aladdin; Polfreman, Richard; Sotudeh, Reza
Affiliation:
University of Hertfordshire, Hatfield, Hertfordshire, UK; University of Southampton, Southampton, UK
(See document for exact affiliation information.)
Publication Date:
2012-10-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=16556
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Sofianos, Stratis; Ariyaeeinia, Aladdin; Polfreman, Richard; Sotudeh, Reza; 2012; H-Semantics: A Hybrid Approach to Singing Voice Separation [PDF]; University of Hertfordshire, Hatfield, Hertfordshire, UK; University of Southampton, Southampton, UK; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=16556
Sofianos, Stratis; Ariyaeeinia, Aladdin; Polfreman, Richard; Sotudeh, Reza; H-Semantics: A Hybrid Approach to Singing Voice Separation [PDF]; University of Hertfordshire, Hatfield, Hertfordshire, UK; University of Southampton, Southampton, UK; Paper ; 2012 Available: https://aes2.org/publications/elibrary-page/?id=16556
@article{sofianos2012h-semantics:,
author={sofianos stratis and ariyaeeinia aladdin and polfreman richard and sotudeh reza},
journal={journal of the audio engineering society},
title={h-semantics: a hybrid approach to singing voice separation},
year={2012},
volume={60},
issue={10},
pages={831-841},
month={november},}