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Delta Mel Frequency Cepstral Coefficient based Feature Extraction Algorithm for Continuous Tamil Speech Recognition

M. Kalamani, M. Krishnamoorthi, R.S. Valarmathi

Abstract


Continuous Speech Recognition for human-machine interface still remains a challenging problem today. It requires more sophisticated pre processing such as feature extraction techniques to overcome the challenging problem faced by recognizer under different environmental conditions. In this paper, the Delta Mel Frequency Cepstral Coefficient based feature extraction method for continuous tamil speech recognition is proposed to extract the predominant features. Performance measures are evaluated for different speech recognition models with various MFCCs per frame. From the evaluated results, it is observed that the proposed delta MFCC (26 MFCCs per frame) provides significant improvement for all models under various speech signal environments.

Keywords


Delta Features, Energy, Feature Extraction, Speech Recognition.

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References


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