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Syllable based continuous speech recognizer with varied length maximum likelihood character segmentation | IEEE Conference Publication | IEEE Xplore

Syllable based continuous speech recognizer with varied length maximum likelihood character segmentation


Abstract:

Speech is the most natural and quick mode of transforming and sharing information. To automate the process of speech production and perception, many researches are carrie...Show More

Abstract:

Speech is the most natural and quick mode of transforming and sharing information. To automate the process of speech production and perception, many researches are carried out for more than five decades. For an Automatic speech Recognition (ASR) of a large or unlimited vocabulary, a recognition unit smaller than word size is necessary. In this paper a new approach for segmenting the input utterance into individual characters is presented. The accuracy of boundary detection of baseline Maximum Likelihood (ML) Algorithm and the proposed algorithm is also compared and discussed.
Date of Conference: 22-25 August 2013
Date Added to IEEE Xplore: 21 October 2013
ISBN Information:
Conference Location: Mysore, India

References

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