Publications related to Intonation Modelling for Speech Synthesis and Emphasis Preservation

Bias Adaptation for Vocal Tract Length Normalization

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

Vocal tract length normalisation (VTLN) is a well known rapid adaptation technique. VTLN as a linear transformation in the cepstral domain results in the scaling and translation factors. The warping factor represents the spectral scaling parameter. While, ...

Idiap2013

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Petr Motlicek, Philip Neil Garner, David Imseng

Recent studies have shown that speech recognizers may benefit from data in languages other than the target language through efficient acoustic model- or feature-level adaptation. Crosslingual Tandem-Subspace Gaussian Mixture Models (SGMM) are successfully ...

ISCA2013

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Petr Motlicek, Philip Neil Garner, David Imseng

Recent studies have shown that speech recognizers may benefit from data in languages other than the target language through efficient acoustic model- or feature-level adaptation. Crosslingual Tandem-Subspace Gaussian Mixture Models (SGMM) are successfully ...

Idiap2013

Are ACT's scores increasing with better translation quality?

This paper gives a detailed description of the ACT (Accuracy of Connective Translation) metric, a reference-based metric that assesses only connective translations. ACT relies on automatic word-level alignment (using GIZA++) between a source sentence and r ...

2013

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

Simulation-Driven Approach for Business Rules Discovery

Alain Wegmann, Irina Rychkova, Biljana Bajic-Bizumic

Business rules are everywhere. Some of these rules are implicit and thus poorly enforced, others are written but not enforced, and still others are perhaps poorly written and obscurely enforced. In this work, we propose an interactive, simulation-driven ap ...

Springer2013

Who Wants To Be A Millionaire? (II)

Hervé Bourlard, Petr Motlicek, Huseyn Gasimov

The developed and implemented game exploiting state-of-the-art speech processing technologies is called “Who wants to be a millionaire?”. This game simulates well-known TV-based quiz game spread in many countries. This optional project, partially made at E ...

Idiap2013

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

Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

Daniel Gatica-Perez, Oya Aran, Dinesh Babu Jayagopi, Dairazalia Sanchez Cortes

In this paper we present a multimodal analysis of emergent leadership in small groups using audio-visual features and discuss our experience in designing and collecting a data corpus for this purpose. The ELEA Audio-Visual Synchronized corpus (ELEA AVS) wa ...

2013

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

Intonation Modelling for Speech Synthesis and Emphasis Preservation

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Bias Adaptation for Vocal Tract Length Normalization

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Are ACT's scores increasing with better translation quality?

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

Simulation-Driven Approach for Business Rules Discovery

Who Wants To Be A Millionaire? (II)

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

Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

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

Bias Adaptation for Vocal Tract Length Normalization

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Are ACT's scores increasing with better translation quality?

Who Wants To Be A Millionaire? (II)

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

Simulation-Driven Approach for Business Rules Discovery

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

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