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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Perceptual Linear Predictive Cepstral Coefficient for Malayalam Isolated Digit Recognition
verfasst von : Cini Kurian, Kannan Balakrishnan
Erschienen in: Trends in Computer Science, Engineering and Information Technology
Verlag: Springer Berlin Heidelberg
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This paper presents an optimum speaker independent isolated digit recognizer for Malayalam language. The system employs Perceptual Linear Predictive (PLP) cepstral coefficient for speech parameterization. The powerful and well accepted pattern recognition technique Hidden Markov Model is used for acoustic modeling. The training data base has the utterance of 21 speakers from the age group ranging from 20 to 40 years and the sound is recorded in the normal office environment where each speaker uttered digits zero to nine independently. The system obtained an accuracy of 99.5% with the unseen data.