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- W2360216768 abstract "A speaker independent speech recognition system of connected digits was developed based on TMS320C5x Evaluation Module (EVM). Cepstrum coefficients, derivative coefficients of cepstrum, log energy normalization coefficient and derivative coefficient of log energy were used as feature vector of speech recognition on the basis of analyzing continuous density hidden Markov model(CDHMM). The system uses Vterbi and Baum Welch reestimation algorithms as training and recognition algorithms, which improve the recognition accuracy greatly. In the paper, clock cycles required by different phases were given, recognition accuracy was firstly compared between template matching and HMM methods and then compared according to different speech characteristic parameters. In specific implementation, resistant noises and real time performance were considered emphatically. Experimental results show that the recognition rate of this system is about 92%, which provides an important method for its practical purposes." @default.
- W2360216768 created "2016-06-24" @default.
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- W2360216768 date "1999-01-01" @default.
- W2360216768 modified "2023-09-23" @default.
- W2360216768 title "DSP Real Time Implementation of Speech Recognition Based on Connected Digits" @default.
- W2360216768 hasPublicationYear "1999" @default.
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