DocumentCode :
431373
Title :
GARCH Coefficients as Feature for Speech Recognition in Persian Isolated Digit
Author :
Abdolahi, Mohamad ; Amindavar, Hamidreza
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
957
Lastpage :
960
Keywords :
autoregressive processes; feature extraction; speech recognition; statistical analysis; time series; time-varying systems; GARCH coefficients; generalized autoregressive conditional heteroskedastic modeling; nonstationary processes; parametric speech modeling; performance; recognition accuracy; speech recognition; statistical feature extraction; time series; time varying signals; variances; Cepstral analysis; Covariance matrix; Discrete Fourier transforms; Feature extraction; Frequency domain analysis; Hidden Markov models; Mel frequency cepstral coefficient; Signal processing; Speech processing; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415274
Filename :
1415274
Link To Document :
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