Fuzzy and knowledge-based control for speech synthesis

Based on he first systematic approach to fuzzy speech production modeling, we demonstrate the effectiveness of the fuzzy control for speech signal generation. The control is designed in the sense of supporting specific speech variability, as described by "classical" knowledge base (and fuzzified by us) about the phenomenon of speech production.

[1]  Johan Liljencrants.  Experiments with analysis by synthesis of glottal airflow , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[2]  Rolf Carlson,et al.  Vowel dynamics in a text-to-speech system some considerations , 1993, EUROSPEECH.

[3]  Lou Boves,et al.  On the relation between voice source characteristics and prosody , 1991, EUROSPEECH.

[4]  Lou Boves,et al.  Automatic estimation of voice source parameters , 1994, ICSLP.

[5]  Abeer Alwan,et al.  Analysis by synthesis of pathological voices using the Klatt synthesizer , 1997, Speech Commun..

[6]  R Carlson,et al.  Models of speech synthesis. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Xavier Rodet,et al.  Synthesis and Control of Hundreds of Sinusoidal Partials on a Desktop Computer without Custom Hardware , 1993, ICMC.

[8]  George Carayannis,et al.  Fuzzy logic for rule-based formant speech synthesis , 1997, EUROSPEECH.

[9]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[10]  David V. Anderson.  Speech analysis and coding using a multi-resolution sinusoidal transform , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[11]  Yasuharu Asano,et al.  Traitement de la parole , 2000 .

[12]  Cecil H. Coker,et al.  Search for unexplored effects in speech production , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[13]  Donald G. Childers,et al.  Speech Processing , 1999 .