A blind separation of monaural sound based on peak tracking of frequency spectra

Shoko Yamahata; Mitsuharu Matsumoto; Shuji Hashimoto

doi:10.1109/ICIME.2009.33

A blind separation of monaural sound based on peak tracking of frequency spectra

Shoko Yamahata^*, Mitsuharu Matsumoto, Shuji Hashimoto

^*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper describes a blind separation algorithm of monaural sound based on peak tracking of frequency spectra. We have already reported a blind separation method based on the change ratio of frequency components. However it cannot handle a signal with frequency fluctuation such as a speech signal or a vibrato tone, because such type of signal is regarded as the mixture of different sounds. Our new method proposed in this paper can handle a sound with frequency fluctuation by tracking frequency peaks along time axis. The effectiveness of the proposed method is evaluated with some experiments on real voice data.

本文言語	English
ホスト出版物のタイトル	Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
ページ	305-311
ページ数	7
DOI	https://doi.org/10.1109/ICIME.2009.33
出版ステータス	Published - 2009
イベント	2009 International Conference on Information Management and Engineering, ICIME 2009 - Kuala Lumpur 継続期間: 2009 4月 3 → 2009 4月 5

Other

Other	2009 International Conference on Information Management and Engineering, ICIME 2009
City	Kuala Lumpur
Period	09/4/3 → 09/4/5

ASJC Scopus subject areas

コンピュータサイエンスの応用
情報システム
情報システムおよび情報管理

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10.1109/ICIME.2009.33

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引用スタイル

Yamahata, S, Matsumoto, M & Hashimoto, S 2009, A blind separation of monaural sound based on peak tracking of frequency spectra. in Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009., 5077048, pp. 305-311, 2009 International Conference on Information Management and Engineering, ICIME 2009, Kuala Lumpur, 09/4/3. https://doi.org/10.1109/ICIME.2009.33

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AB - This paper describes a blind separation algorithm of monaural sound based on peak tracking of frequency spectra. We have already reported a blind separation method based on the change ratio of frequency components. However it cannot handle a signal with frequency fluctuation such as a speech signal or a vibrato tone, because such type of signal is regarded as the mixture of different sounds. Our new method proposed in this paper can handle a sound with frequency fluctuation by tracking frequency peaks along time axis. The effectiveness of the proposed method is evaluated with some experiments on real voice data.

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Y2 - 3 April 2009 through 5 April 2009

ER -

A blind separation of monaural sound based on peak tracking of frequency spectra

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