scholarly journals Comparing a magnitude estimation technique and a pair comparisons technique for use in assessing quality of text‐to‐speech synthesis systems

1989 ◽  
Vol 85 (S1) ◽  
pp. S125-S125
Author(s):  
Chaslav Pavlovic ◽  
Christel Sorin ◽  
Jean Pierre Roumiguiere ◽  
Jean Pierre Lucas
Keyword(s):  
Magnitude Estimation ◽  
Speech Synthesis ◽  
Estimation Technique ◽  
Text To Speech ◽  
Pair Comparisons ◽  
Text To Speech Synthesis

scholarly journals Text to Speech Synthesis System for Punjabi language using Statistical Parametric Speech Synthesis Technique

2019 ◽  
Vol 8 (9S) ◽  
pp. 268-272
Keyword(s):  
Speech Synthesis ◽  
Gaussian Mixture ◽  
Indian Languages ◽  
Text To Speech ◽  
Synthesis Technique ◽  
Text To Speech Synthesis ◽  
Statistical Parametric Speech Synthesis ◽  
Parametric Speech Synthesis ◽  
Traditional Approaches

Statistical Parametric Speech Synthesis has been most growing technique rather than the traditional approaches that we are used to synthesizing the speech. The shortcoming of traditional approaches will be overcome with latest statistical techniques. The main advantages of SPSS from traditional synthesis technique are that it has more flexibility to change the characteristics of voice and support more multiple languages i.e. multilingual, has good coverage of acoustic ` and robustness. It generates high quality of speech from small training database. Deep Neural network and Hidden Morkov model are basic statistical parametric speech synthesis techniques. Gaussian mixture model, sinusoidal model are also under this categories. Features were extracted in two type spectral features like spectral bandwidth, spectral centroid etc. and excitation features like F0 frequencies etc. We are using 722 Punjabi phonemes. Using sound forge software we extracted the 200 wave file from 1 hour pre-recording wave file related to those phonemes. Each and every phonemes feature was extracted and saved in database. We were extracting 28 features of each phoneme. TTS text-to-speech system generates sounds or speech as a output when provided the text of Punjabi language. There were already many TTS are developed on different Indian languages. The system that we are trying to build is based only on Punjabi language.

Integrating Articulatory Information in Deep Learning-Based Text-to-Speech Synthesis

2017 ◽  
Author(s):  
Beiming Cao ◽  
Myungjong Kim ◽  
Jan van Santen ◽  
Ted Mau ◽  
Jun Wang
Keyword(s):  
Deep Learning ◽  
Speech Synthesis ◽  
Text To Speech ◽  
Text To Speech Synthesis

Subset Selection, Adaptation, Gemination and Prosody Prediction for Amharic Text-to-Speech Synthesis

2019 ◽  
Author(s):  
Elshadai Tesfaye Biru ◽  
Yishak Tofik Mohammed ◽  
David Tofu ◽  
Erica Cooper ◽  
Julia Hirschberg
Keyword(s):  
Speech Synthesis ◽  
Subset Selection ◽  
Text To Speech ◽  
Text To Speech Synthesis ◽  
Prosody Prediction
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