Title :
A speech recognizer with selectable model parameters
Author :
Han, Wei ; Chan, Cheong-Fat ; Choy, Chiu-Sing ; Pun, Kong-Pang
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
This paper presents the design and simulation results of a hidden Markov model (HMM) based isolated word recognizer IC. The new design can handle any combination of states and mixtures (up to 16 states and 8 mixtures). The speech IC has been verified with 353 test speech data. The recognition accuracy is 93.8% (48-bit) with no truncation and 88.9% with truncation (16-bit).
Keywords :
hidden Markov models; speech recognition; 16 bit; 48 bit; CMOS; add-log function; hidden Markov model; look-up table; multimixture HMM; recognition accuracy; selectable model parameter speech recognizer; states/mixtures combination; truncation; word model; word recognizer IC; Character recognition; Design engineering; Hidden Markov models; Integrated circuit modeling; Integrated circuit testing; Pattern recognition; Probability density function; Probability distribution; Speech recognition; Viterbi algorithm;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465967
