Publications related to SPARSE NON-NEGATIVE DECOMPOSITION OF SPEECH POWER SPECTRA FOR FORMANT TRACKING

Prosody in Swiss French Accents: Investigation using Analysis by Synthesis

Philip Neil Garner, Pierre-Edouard Jean Charles Honnet

It is very common for a language to have different dialects or accents. The different pronunciations of the same words is one of the reasons for the different accents, in the same language. Swiss French accents have similar pronunciation to standard French ...

Idiap2014

Prosody in Swiss French Accents: Investigation using Analysis by Synthesis

Philip Neil Garner, Pierre-Edouard Jean Charles Honnet

It is very common for a language to have different dialects or accents. The different pronunciations of the same words is one of the reasons for the different accents, in the same language. Swiss French accents have similar pronunciation to standard French ...

2014

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Jean-Philippe Thiran

Tracking vocal tract formant frequencies (

f_p

) and estimating the fundamental frequency (

f_0

) are two tracking problems that have been tackled in many speech processing works, often independently, with applications to articulatory parameters estimation ...

Institute of Electrical and Electronics Engineers2013

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Philip Neil Garner, Milos Cernak

Current HMM-based low bit rate speech coding systems work with phonetic vocoders. Pitch contour coding (on frame or phoneme level) is usually fairly orthogonal to other speech coding parameters. We make an assumption in our work that the speech signal cont ...

Idiap2013

Multi-parametric source-filter separation of speech and prosodic voice restoration

Olaf Schleusing

In this thesis, methods and models are developed and presented aiming at the estimation, restoration and transformation of the characteristics of human speech. During a first period of the thesis, a concept was developed that allows restoring prosodic voic ...

EPFL2012

Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition

Lakshmi Babu Saheer

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)2012

Progress report of a project in very low bit-rate speech coding

Petr Motlicek, Philip Neil Garner, Milos Cernak

Background work in various levels of speech coding is reviewed, including unconstrained coding and recognition-synthesis approaches that assume the signal is speech. A pilot project in HMM-TTS based speech coding is then described, in which a comparison wi ...

Idiap2012

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer

Cross-lingual speaker adaptation (CLSA) has emerged as a new challenge in statistical parametric speech syn- thesis, with specific application to speech-to-speech translation. Recent research has shown that reasonable speaker similarity can be achieved in ...

Idiap2012

Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis

Philip Neil Garner, John David Scott Dines, Lakshmi Babu Saheer

Vocal tract length normalization (VTLN) has been successfully used in automatic speech recognition for improved performance. The same technique can be implemented in statistical parametric speech synthesis for rapid speaker adaptation during synthesis. Thi ...

2012

VTLN 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 ...

2010

SPARSE NON-NEGATIVE DECOMPOSITION OF SPEECH POWER SPECTRA FOR FORMANT TRACKING

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Prosody in Swiss French Accents: Investigation using Analysis by Synthesis

Prosody in Swiss French Accents: Investigation using Analysis by Synthesis

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Multi-parametric source-filter separation of speech and prosodic voice restoration

Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition

Progress report of a project in very low bit-rate speech coding

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis

VTLN Adaptation for Statistical Speech Synthesis

Prosody in Swiss French Accents: Investigation using Analysis by Synthesis

Prosody in Swiss French Accents: Investigation using Analysis by Synthesis

Progress report of a project in very low bit-rate speech coding

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Multi-parametric source-filter separation of speech and prosodic voice restoration

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

VTLN Adaptation for Statistical Speech Synthesis

Vocal Tract Length Normalization for Statistical Parametric Speech Synthesis