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VTLN Adaptation for Statistical Speech Synthesis
Publications associées (39)
Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition
The advent of statistical parametric speech synthesis has paved new ways to a unified framework for hidden Markov model (HMM) based text to speech synthesis (TTS) and automatic speech recognition (ASR). The techniques and advancements made in the field of ...
Ecole Polytechnique Federale de Lausanne (EPFL)2012SPARSE NON-NEGATIVE DECOMPOSITION OF SPEECH POWER SPECTRA FOR FORMANT TRACKING
Many works on speech processing have dealt with auto-regressive (AR) models for spectral envelope and formant frequency estimation, mostly focusing on the estimation of the AR parameters. However, it is also interesting to be able to directly estimate the ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011Current trends in multilingual speech processing
Hervé Bourlard, Petr Motlicek, Philip Neil Garner, John David Scott Dines, Fabio Valente, David Imseng, Hui Liang, Lakshmi Babu Saheer
In this paper, we describe recent work at Idiap Research Institute in the domain of multilingual speech processing and provide some insights into emerging challenges for the research community. Multilingual speech processing has been a topic of ongoing int ...
2011VTLN Adaptation for Statistical Speech Synthesis
Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer
The advent of statistical speech synthesis has enabled the unification of the basic techniques used in speech synthesis and recognition. Adaptation techniques that have been successfully used in recognition systems can now be applied to synthesis systems t ...
2010Implementation of VTLN for Statistical Speech Synthesis
Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer
Vocal tract length normalization is an important feature normalization technique that can be used to perform speaker adaptation when very little adaptation data is available. It was shown earlier that VTLN can be applied to statistical speech synthesis and ...
2010Implementation of VTLN for Statistical Speech Synthesis
Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer
Vocal tract length normalization is an important feature normalization technique that can be used to perform speaker adaptation when very little adaptation data is available. It was shown earlier that VTLN can be applied to statistical speech synthesis and ...
Idiap2010Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Performance of a typical automatic speech recognition (ASR) system severely degrades when it encounters speech from reverberant environments. Part of the reason for this degradation is the feature extraction techniques that use analysis windows which are m ...
2008Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction
Hynek Hermansky, Sriram Ganapathy, Samuel Thomas
Performance of a typical automatic speech recognition (ASR) system severely degrades when it encounters speech from reverberant environments. Part of the reason for this degradation is the feature extraction techniques that use analysis windows which are m ...
IDIAP2008Correcting Confusion Matrices for Phone Recognizers
Modern speech recognition has many ways of quantifying the misrecognitions a speech recognizer makes. The errors in modern speech recognition makes extensive use of the Levenshtein algorithm to find the distance between the labeled target and the recognize ...
IDIAP2007Using Pitch as Prior Knowledge in Template-Based Speech Recognition
Hervé Bourlard, Guillermo Aradilla
In a previous paper on speech recognition, we showed that templates can better capture the dynamics of speech signal compared to parametric models such as hidden Markov models. The key point in template matching approaches is finding the most similar templ ...
2006