Subjective and Spectrogram Analysis of Speech Synthesizer for Marathi TTS Using Concatenative Synthesis

2010 ◽  
Author(s):  
S.D. Shirbahadurkar ◽  
D.S. Bormane ◽  
R.L. Kazi
Keyword(s):  
Speech Synthesizer ◽  
Concatenative Synthesis

Linear predictive codeword excited speech synthesizer

1994 ◽  
Vol 95 (2) ◽  
pp. 1184-1184
Author(s):  
Richard L. Zinser ◽  
Steven R. Koch
Keyword(s):  
Speech Synthesizer

scholarly journals In Memoriam: Johan Liljencrants (1936–2012)

2012 ◽  
Vol 42 (2) ◽  
pp. 253-254
Author(s):  
Rolf Carlson ◽  
Björn Granström
Keyword(s):  
Signal Processing ◽  
Speech Signal ◽  
Speech Analysis ◽  
Speech Signal Processing ◽  
Speech Synthesizer ◽  
Speech Transmission ◽  
Analysis And Synthesis ◽  
In Memoriam ◽  
The 1960S

Johan Liljencrants was a KTH oldtimer. His interests focused early on speech analysis and synthesis where in the 1960s he took a leading part in the development of analysis hardware, the OVE III speech synthesizer, and the introduction of computers in the Speech Transmission Laboratory. Later work shifted toward general speech signal processing, for instance in his thesis on the use of a reflection line synthesizer. His interests expanded to modelling the glottal system, parametrically as in the Liljencrants–Fant (LF) model of glottal waveshapes, as well as physically including glottal aerodynamics and mechanics.

A Multilingual to Polyglot Speech Synthesizer for Indian Languages Using a Voice-Converted Polyglot Speech Corpus

2017 ◽  
Vol 37 (5) ◽  
pp. 2142-2163 ◽  
Author(s):  
P. Vijayalakshmi ◽  
B. Ramani ◽  
M. P. Actlin Jeeva ◽  
T. Nagarajan
Keyword(s):  
Indian Languages ◽  
Speech Corpus ◽  
Speech Synthesizer

Subjective analysis of a HMM-based visual speech synthesizer

2001 ◽  
Author(s):  
Jay J. Williams ◽  
Aggelos K. Katsaggelos ◽  
Dean C. Garstecki
Keyword(s):  
Visual Speech ◽  
Speech Synthesizer ◽  
Subjective Analysis

Cross-lingual voice conversion-based polyglot speech synthesizer for indian languages

2014 ◽  
Author(s):  
B. Ramani ◽  
M. P. Actlin Jeeva ◽  
P. Vijayalakshmi ◽  
T. Nagarajan
Keyword(s):  
Voice Conversion ◽  
Indian Languages ◽  
Speech Synthesizer ◽  
Cross Lingual

Speech Synthesis Using Damped Sinusoids

2002 ◽  
Vol 45 (4) ◽  
pp. 639-650 ◽  
Author(s):  
James M. Hillenbrand ◽  
Robert A. Houde
Keyword(s):  
Spectrum Analysis ◽  
Speech Signal ◽  
Speech Synthesis ◽  
Fourier Spectrum ◽  
Fundamental Period ◽  
Speech Synthesizer ◽  
Perceptual Evaluation ◽  
Random Intervals ◽  
Sentence Intelligibility ◽  
Nonsense Syllables

A speech synthesizer was developed that operates by summing exponentially damped sinusoids at frequencies and amplitudes corresponding to peaks derived from the spectrum envelope of the speech signal. The spectrum analysis begins with the calculation of a smoothed Fourier spectrum. A masking threshold is then computed for each frame as the running average of spectral amplitudes over an 800-Hz window. In a rough simulation of lateral suppression, the running average is then subtracted from the smoothed spectrum (with negative spectral values set to zero), producing a masked spectrum. The signal is resynthesized by summing exponentially damped sinusoids at frequencies corresponding to peaks in the masked spectra. If a periodicity measure indicates that a given analysis frame is voiced, the damped sinusoids are pulsed at a rate corresponding to the measured fundamental period. For unvoiced speech, the damped sinusoids are pulsed on and off at random intervals. A perceptual evaluation of speech produced by the damped sinewave synthesizer showed excellent sentence intelligibility, excellent intelligibility for vowels in /hVd/ syllables, and fair intelligibility for consonants in CV nonsense syllables.

Data converter for a speech synthesizer

1986 ◽  
Vol 79 (4) ◽  
pp. 1199-1199
Author(s):  
Keith A. Blanton ◽  
George R. Doddington
Keyword(s):  
Data Converter ◽  
Speech Synthesizer
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