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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Frequency Spectral Feature Modeling for Hidden Markov Model Based Automated Speech Recognition
verfasst von : Ibrahim Patel, Y. Srinivas Rao
Erschienen in: Recent Trends in Networks and Communications
Verlag: Springer Berlin Heidelberg
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This paper presents an approach to the recognition of speech signal using frequency spectral information with Mel frequency for the improvement of speech feature representation in a HMM based recognition approach. A frequency spectral information is incorporated to the conventional Mel spectrum base speech recognition approach. The Mel frequency approach exploits the frequency observation for speech signal in a given resolution which results in resolution feature overlapping resulting in recognition limit. Resolution decomposition with separating frequency is mapping approach for a HMM based speech recognition system. The Simulation results show a improvement in the quality metrics of speech recognition with respect to computational time, learning accuracy for a speech recognition system.