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Language independent automated segmentation of speech using Bach scale filter-banks

Ananthakrishnan, G and Ranjani, HG and Ramakrishnan, AG (2006) Language independent automated segmentation of speech using Bach scale filter-banks. In: 4th International Conference on Intelligent Sensing and Information Processing,, Dec 15-18, 2006, Bangalore, India, pp. 115-120.

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This correspondence describes a method for automated segmentation of speech. The method proposed in this paper uses a specially designed filter-bank called Bach filter-bank which makes use of 'music' related perception criteria. The speech signal is treated as continuously time varying signal as against a short time stationary model. A comparative study has been made of the performances using Mel, Bark and Bach scale filter banks. The preliminary results show up to 80 % matches within 20 ms of the manually segmented data, without any information of the content of the text and without any language dependence. The Bach filters are seen to marginally outperform the other filters.

Item Type: Conference Paper
Publisher: Institute of Electrical and Electronics Engineers
Additional Information: Copyright 2006 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.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 02 Sep 2010 05:49
Last Modified: 19 Sep 2010 06:12
URI: http://eprints.iisc.ac.in/id/eprint/30544

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