readme.2nd

采用matlab进行语音处理的软件包

There is an "example" directory where I put two data sets.
The first data set are composed of 10 MFCC coefficients calculated from
9-words English E-set letters (/B/, /C/, /D/, /E/, /G/, /P/, /T/, /V/, /Z/)
spoken by 15 female speakers. Another set are raw speech signals of
10 digits /0-9/ spoken in German which were recored at different environments.
(Sun version only).

For further information, see "usages.doc" and the demo program.

The format of pattern data:

20 1 5   <-- sequence length 20, class 1, vector dimension 5
 0.7485 -0.1875  1.6818 -0.8903  0.1908
 0.3011  0.0085  1.0517 -1.7370  0.2698
 ... total 20 vectors
10 2 5   <-- sequence length 10, class 2, vector dimension 5
-0.0969  0.2673  1.0544 -1.3507  0.5505
-0.5478  0.1819  0.8638 -1.3081  0.4994
 ... total 10 vectors

The format of observation symbol file:

14 1 5 23 23 23 23 23 23 23 15 15 15 23 7 7 
17 2 25 25 3 3 19 11 11 19 19 19 19 19 19 3 3 9 20
....


The first number is the length of this sequence and the second number
is class membership, the rest are observation symbols.


Purpose of uploading this package
---------------------------------
I am nearly finishing my PhD work and start to look for a job. It is hoped
that this package could demonstrate my programming capabilities. Besides,
I have also done some excellent research work. The following is publication
list:

[1]     J. He, L. Liu, and G. Palm, "A text-independent speaker 
        identification system based on neural networks," 
        Proc. of  International Conference on Spoken Language processing 
        (ICSLP'94), pp. 1851-1854, Sept. 1994, Yokohama, Japan. 
 
[2]     J. He, L. Liu, and G. Palm, "Perception of stop consonants in 
        VCV utterances reconstructed from partial Fourier transform 
        information," Proc. of  Australian International Conference on 
        Speech science and technology (SST'94), 
        pp. 436-441, Nov. 1994, Perth, Australia. 
 
[3]     J. He, L. Liu, and G. Palm, "On the use of features from prediction 
        residual signals in speaker identification," 
        Proc. of  EUROSPEECH'95, Vol. 1, pp. 313-316, Sept. 1995, 
        Madrid, Spain. 
 
[4]     J. He, L. Liu, and G. Palm, "Speaker identification using hybrid 
        LVQ-SLP networks," Proc. IEEE ICNN'95, Vol.4, pp. 2052-2055, 
        Perth, Australia. 
 
[5]     J. He, L. Liu, and G. Palm, "On the use of residual cepstrum in 
        speech recognition," Proc. IEEE ICASSP'96, Vol. 1, pp. 5-8, Atlanta,
        1996, USA. 
 
[6]     L. Liu, J. He, and A. Smit, "The importance of phase in the
        perception of intervocalic stop consonants," 
        J. Acoust. Soc. Am., pp. 2340, 1992. 

[7]     L. Liu, J. He, and G. Palm, "Perception of stop consonants in
        speech signals reconstructed from phase or amplitude," 
        J. Acoust. Soc. Am., Vol. 94, pp. 1883, 1993. 
 
[8]     L. Liu, J. He, and G. Palm, "The importance of phase in the
        perception of intervocalic stop consonants," Proc. of  Australian 
        International Conference on Speech science and technology (SST'94), 
        pp. 442-447, Nov. 1994, Perth, Australia. 
 
[9]     L. Liu, J. He, and G. Palm, "Influence of short-time phase on the
        perception of stop consonants," Proc. of  EUROSPEECH'95, pp. 2269-2272, 
        Sept. 1995, Madrid, Spain. 
 
[10]    L. Liu, J. He, and G. Palm, "Signal modeling for speaker
        identification," Proc.  IEEE ICASSP'96,  Vol. 2, 665-668, Atlanta, USA. 

If you have a job available and need to know more, I am happy to provide
other information.

--------------------------------
Jialong He
Abt. Neuroinformatik
University of ULM
89069 ULM, GERMANY
email: [e-mail]