Method and apparatus for speech generation from phonetic codes

1996 ◽  
Vol 100 (3) ◽  
pp. 1284
Author(s):  
Richard T. Gagnon
Keyword(s):  
Speech Generation

scholarly journals End-to-end Image-to-speech Generation for Untranscribed Unknown Languages

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Johanes Effendi ◽  
Sakriani Sakti ◽  
Satoshi Nakamura
Keyword(s):  
Speech Generation ◽  
End To End

scholarly journals Synthetic speech detection through short-term and long-term prediction traces

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Clara Borrelli ◽  
Paolo Bestagini ◽  
Fabio Antonacci ◽  
Augusto Sarti ◽  
Stefano Tubaro
Keyword(s):  
Deep Learning ◽  
Speech Processing ◽  
Synthetic Speech ◽  
Opinion Formation ◽  
Closed Set ◽  
Speech Detection ◽  
Open Set ◽  
Technological Advances ◽  
Speech Generation ◽  
Long Term Prediction

AbstractSeveral methods for synthetic audio speech generation have been developed in the literature through the years. With the great technological advances brought by deep learning, many novel synthetic speech techniques achieving incredible realistic results have been recently proposed. As these methods generate convincing fake human voices, they can be used in a malicious way to negatively impact on today’s society (e.g., people impersonation, fake news spreading, opinion formation). For this reason, the ability of detecting whether a speech recording is synthetic or pristine is becoming an urgent necessity. In this work, we develop a synthetic speech detector. This takes as input an audio recording, extracts a series of hand-crafted features motivated by the speech-processing literature, and classify them in either closed-set or open-set. The proposed detector is validated on a publicly available dataset consisting of 17 synthetic speech generation algorithms ranging from old fashioned vocoders to modern deep learning solutions. Results show that the proposed method outperforms recently proposed detectors in the forensics literature.

New approach to the polyglot speech generation by means of an HMM-based speaker adaptable synthesizer

2006 ◽  
Vol 48 (10) ◽  
pp. 1227-1242 ◽  
Author(s):  
Javier Latorre ◽  
Koji Iwano ◽  
Sadaoki Furui
Keyword(s):  
New Approach ◽  
Speech Generation

Expressive Visual Speech Generation

2007 ◽  
pp. 29-59
Author(s):  
Thomas Di Giacomo ◽  
Stephane Garchery ◽  
Nadia Magnenat-Thalmann
Keyword(s):  
Visual Speech ◽  
Speech Generation

Thought as word dynamics

1999 ◽  
Vol 22 (2) ◽  
pp. 295-295
Author(s):  
Paul J. M. Jorion
Keyword(s):  
Parts Of Speech ◽  
Functional Relationships ◽  
Gradient Model ◽  
Speech Generation

A Hebbian model for speech generation opens a number of paths. A cross-linguistic scheme of functional relationships (inspired by Aristotle) dispenses with distraction by the “parts of speech” distinctions, while bridging the gap between “content” and “structure” words. A gradient model identifies emotional and rational dynamics and shows speech generation as a process where a speaker's dissatisfaction gets minimized.

Speech Generation in Mobile Phones

2007 ◽  
pp. 163-191 ◽  
Author(s):  
Géza Németh ◽  
Géza Kiss ◽  
Csaba Zainkó ◽  
Gábor Olaszy ◽  
Bálint Tóth
Keyword(s):  
Mobile Phones ◽  
Speech Generation
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