DocumentCode :
284763
Title :
Transformations of speech spectra to a two-dimensional continuous-valued phonetic feature space for vowel training
Author :
Beck, Andrew E. ; Zahorian, Stephen A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
Volume :
2
fYear :
1992
fDate :
23-26 Mar 1992
Firstpage :
241
Abstract :
A vowel articulation training aid for the deaf has been developed. This is an improved digital system processor (DSP) version of the analog filter-bank system presented by S.A. Zahorian and S. Vankat (1990). The real-time signal processing strategy and the mapping of the continuous feature space to a two-dimensional display space are described. A combined linear/nonlinear transformation, in the form of an artificial neural network, is used to convert cepstral coefficients to a 2-D space suitable for computer displays. A multistage artificial neural network training algorithm has been developed that yields better performance and reduced training time relative to conventional training techniques
Keywords :
digital signal processing chips; handicapped aids; learning (artificial intelligence); neural nets; speech analysis and processing; artificial neural network; cepstral coefficients; computer displays; digital system processor; linear/nonlinear transformation; neural network training algorithm; real-time signal processing; two-dimensional continuous-valued phonetic feature space; vowel articulation training aid; vowel training; Artificial neural networks; Cepstral analysis; Deafness; Digital filters; Digital signal processing; Digital systems; Signal mapping; Signal processing; Speech; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1520-6149
Print_ISBN :
0-7803-0532-9
Type :
conf
DOI :
10.1109/ICASSP.1992.226075
Filename :
226075
Link To Document :
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