DocumentCode :
775109
Title :
Formant speech synthesis: improving production quality
Author :
Pinto, Neal B. ; Childers, Donald G. ; Lalwani, Ajit L.
Author_Institution :
Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA
Volume :
37
Issue :
12
fYear :
1989
fDate :
12/1/1989 12:00:00 AM
Firstpage :
1870
Lastpage :
1887
Abstract :
The authors describe analysis and synthesis methods for improving the quality of speech produced by D.H. Klatt´s (J. Acoust. Soc. Am., vol.67, p.971-95, 1980) software formant synthesizer. Synthetic speech generated using an excitation waveform resembling the glotal volume-velocity was found to be perceptually preferred over speech synthesized using other types of excitation. In addition, listeners ranked speech tokens synthesized with an excitation waveform that simulated the effects of source-tract interaction higher in neutralness than tokens synthesized without such interaction. A series of algorithms for silent and voiced/unvoiced/mixed excitation interval classification, pitch detection, formant estimation and formant tracking was developed. The algorithms can utilize two channels of input data, i.e., speech and electroglottographic signals, and can therefore surpass the performance of single-channel (acoustic-signal-based) algorithms. The formant synthesizer was used to study some aspects of the acoustic correlates of voice quality, e.g., male/female voice conversion and the simulation of breathiness, roughness, and vocal fry
Keywords :
speech analysis and processing; speech synthesis; acoustic correlates; breathiness; electroglottographic signals; excitation waveform; formant estimation; formant tracking; glotal volume-velocity; interval classification; pitch detection; production quality; roughness; software formant synthesizer; source-tract interaction; speech synthesis; speech tokens; vocal fry; voice conversion; Acoustic signal detection; Acoustic signal processing; Art; Control system synthesis; Signal processing algorithms; Signal synthesis; Software quality; Speech analysis; Speech synthesis; Synthesizers;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.45534
Filename :
45534
Link To Document :
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