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ICASSP
2010
IEEE
13 years 7 months ago
Statistical approach to enhancing esophageal speech based on Gaussian mixture models
This paper presents a novel method of enhancing esophageal speech using statistical voice conversion. Esophageal speech is one of the alternative speaking methods for laryngectome...
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...
IEICET
2010
100views more  IEICET 2010»
13 years 4 months ago
Esophageal Speech Enhancement Based on Statistical Voice Conversion with Gaussian Mixture Models
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...
ICASSP
2011
IEEE
12 years 11 months ago
An evaluation of alaryngeal speech enhancement methods based on voice conversion techniques
In this study, we evaluate our proposed methods for enhancing alaryngeal speech based on statistical voice conversion techniques. Voice conversion based on a Gaussian mixture mode...
Hironori Doi, Keigo Nakamura, Tomoki Toda, Hiroshi...
SPEECH
2008
124views more  SPEECH 2008»
13 years 7 months ago
Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model
In this paper, we describe a statistical approach to both an articulatory-to-acoustic mapping and an acoustic-to-articulatory inversion mapping without using phonetic information....
Tomoki Toda, Alan W. Black, Keiichi Tokuda
ICASSP
2011
IEEE
12 years 11 months ago
HNM-based MFCC+F0 extractor applied to statistical speech synthesis
Currently, the statistical framework based on Hidden Markov Models (HMMs) plays a relevant role in speech synthesis, while voice conversion systems based on Gaussian Mixture Model...
Daniel Erro, Iñaki Sainz, Eva Navas, Inma H...