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

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

The speech signal conveys information on different time scales from short (20--40 ms) time scale or segmental, associated to phonological and phonetic information to long (150--250 ms) time scale or supra segmental, associated to syllabic and prosodic info ...

2016

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

The speech signal conveys information on different time scales from short (20–40 ms) time scale or segmental, associated to phonological and phonetic information to long (150–250 ms) time scale or supra segmental, associated to syllabic and prosodic inform ...

Idiap2016

"Can you hear me now?"

Raphaël Marc Ullmann

This thesis deals with signal-based methods that predict how listeners perceive speech quality in telecommunications. Such tools, called objective quality measures, are of great interest in the telecommunications industry to evaluate how new or deployed sy ...

EPFL2016

Combining Vocal Tract Length Normalization with Hierarchical Linear Transformations

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

Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis. VTLN produces speech with naturalness preferable to that of MLLR-based adaptation tec ...

2014

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 ...

EPFL2013

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

John David Scott Dines, Hui Liang, Lakshmi Babu Saheer, Matthew Gibson, Simon King

In this paper we present results of unsupervised cross-lingual speaker adaptation applied to text-to-speech synthesis. The application of our research is the personalisation of speech-to-speech translation in which we employ a HMM statistical framework for ...

2013

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

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

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

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

Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis. VTLN produces speech with naturalness preferable to that of MLLR- based adaptation te ...

Idiap2012

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

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On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

"Can you hear me now?"

Combining Vocal Tract Length Normalization with Hierarchical Linear Transformations

Unified Framework of Feature Based Adaptation for Statistical Speech Synthesis and Recognition

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

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

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

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

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

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

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

Unified Framework of Feature Based Adaptation for Statistical Speech Synthesis and Recognition

Combining Vocal Tract Length Normalization with Hierarchical Linear Transformations

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

"Can you hear me now?"

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

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