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Use of Haar wavelet transform based multiple template matching for analyses of speech voice

Authors:

Shinji Karasawa,

Hiroshi SakurabaAuthors Info & Claims

EATIS '07: Proceedings of the 2007 Euro American conference on Telematics and information systems

Article No.: 59, Pages 1 - 4

https://doi.org/10.1145/1352694.1352755

Published: 14 May 2007 Publication History

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Abstract

Technologies of wavelet transformation were used in JPEG2000 and those will be available for CODEC. Pivotal reminders for voice recognition were investigated by using multi-resolution of Haar wavelet representation (H-WR). Template of a phoneme differs from that of a syllable. Optimum accuracy of the feature depends on segmentation of template-matching (TM) analyses. 64 components of Haar wavelet coefficients (H-WC) for recognition of a phoneme are able to decrease to 15 components with lower frequency. Here, each set of data begins at peak value in each pitch. Sampling frequency is 10 kHz. The period of segment for a phoneme is 6.4msec. Segmentation of phoneme in speech can be checked by using the fact that ratio (r) between SWC (sum of absolute value of WC in a scale) becomes r=1, at a transition. SWC is available as a constituent in vector quantization for a syllable. Short syllables are decoded by means of 8 pieces of SWC, here the SWC was obtained from a set of data of 1024 pieces on a syllable (sampling frequency is 5 kHz, period of extraction for a syllable is 204.8msec).

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Cited By

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Yi HPengzhou ZYanfeng W(2012)Adaptive threshold based video shot boundary detection framework2012 International Conference on Image Analysis and Signal Processing10.1109/IASP.2012.6425020(1-5)Online publication date: Nov-2012
https://doi.org/10.1109/IASP.2012.6425020
Huo YZhang PWang YMa H(2012)Wavelet based shot boundary detection technique using between cluster distance2012 5th International Congress on Image and Signal Processing10.1109/CISP.2012.6469701(249-253)Online publication date: Oct-2012
https://doi.org/10.1109/CISP.2012.6469701
Kakoty NHazarika S(2009)Classification of Grasp Types through Wavelet Decomposition of EMG Signals2009 2nd International Conference on Biomedical Engineering and Informatics10.1109/BMEI.2009.5305493(1-5)Online publication date: Oct-2009
https://doi.org/10.1109/BMEI.2009.5305493

Use of Haar wavelet transform based multiple template matching for analyses of speech voice
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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EATIS '07: Proceedings of the 2007 Euro American conference on Telematics and information systems

May 2007

498 pages

ISBN:9781595935984

DOI:10.1145/1352694

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 May 2007

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May 14 - 17, 2007

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Yi HPengzhou ZYanfeng W(2012)Adaptive threshold based video shot boundary detection framework2012 International Conference on Image Analysis and Signal Processing10.1109/IASP.2012.6425020(1-5)Online publication date: Nov-2012
https://doi.org/10.1109/IASP.2012.6425020
Huo YZhang PWang YMa H(2012)Wavelet based shot boundary detection technique using between cluster distance2012 5th International Congress on Image and Signal Processing10.1109/CISP.2012.6469701(249-253)Online publication date: Oct-2012
https://doi.org/10.1109/CISP.2012.6469701
Kakoty NHazarika S(2009)Classification of Grasp Types through Wavelet Decomposition of EMG Signals2009 2nd International Conference on Biomedical Engineering and Informatics10.1109/BMEI.2009.5305493(1-5)Online publication date: Oct-2009
https://doi.org/10.1109/BMEI.2009.5305493

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Integrate template matching and statistical modeling for continuous speech recognition

Emotion modeling from speech signal based on wavelet packet transform

Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech

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