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Realization of speech recognition using DSP (digital signal processor)

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6 Author(s)
Heungsuk Chin ; Dept. of Phys., Hanyang Univ., Ansan, South Korea ; J. Kim ; I. Kim ; Y. Kwon
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Huge data processing in speech recognition is a tendency. But it is not easy to develop and implement speech recognition system in a small machine. For that reason, the authors have developed a PC-independent speech recognition system using a digital signal processor (DSP). They performed experimental speech recognition tests for some ordinary words. To test the online performance of the system, they developed a program that would detect environmental noise and the endpoint of speech in real time. In experiments, they used 10th order cepstrum coefficients and log-scaled energy as the feature vectors and the discrete hidden Markov model (DHMM) as the recognition tool. For the experiment, they selected 5 speeches of 5 males per model for training

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Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on  (Volume:1 )

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