Thierry Dutoit

research

∙ 05/30/2023

A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation

Sketch-Based Image Retrieval (SBIR) is a crucial task in multimedia retr...

0 Omar Seddati, et al. ∙

research

∙ 03/22/2023

Deep learning-based stereo camera multi-video synchronization

Stereo vision is essential for many applications. Currently, the synchro...

0 Nicolas Boizard, et al. ∙

research

∙ 10/27/2022

Synthesizer Preset Interpolation using Transformer Auto-Encoders

Sound synthesizers are widespread in modern music production but they in...

0 Gwendal Le Vaillant, et al. ∙

research

∙ 09/14/2022

Transformers and CNNs both Beat Humans on SBIR

Sketch-based image retrieval (SBIR) is the task of retrieving natural im...

0 Omar Seddati, et al. ∙

research

∙ 05/20/2022

Analysis of Co-Laughter Gesture Relationship on RGB videos in Dyadic Conversation Contex

The development of virtual agents has enabled human-avatar interactions ...

3 Hugo Bohy, et al. ∙

research

∙ 04/26/2022

Evaluating the Quality of a Synthesized Motion with the Fréchet Motion Distance

Evaluating the Quality of a Synthesized Motion with the Fréchet Motion D...

4 Antoine Maiorca, et al. ∙

research

∙ 01/11/2022

Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models

In the past few years, neural character animation has emerged and offere...

11 Antoine Maiorca, et al. ∙

research

∙ 01/11/2022

Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity

Visual attention estimation is an active field of research at the crossr...

19 Victor Delvigne, et al. ∙

research

∙ 01/11/2022

Emotion Estimation from EEG – A Dual Deep Learning Approach Combined with Saliency

Emotion estimation is an active field of research that has an important ...

0 Victor Delvigne, et al. ∙

research

∙ 03/06/2021

Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system

In this paper, we study the controllability of an Expressive TTS system ...

0 Noé Tits, et al. ∙

research

∙ 08/25/2020

ICE-Talk: an Interface for a Controllable Expressive Talking Machine

ICE-Talk is an open source web-based GUI that allows the use of a TTS sy...

0 Noé Tits, et al. ∙

research

∙ 08/20/2020

Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning

Despite the growing interest for expressive speech synthesis, synthesis ...

0 Noé Tits, et al. ∙

research

∙ 06/07/2020

Parametric Representation for Singing Voice Synthesis: a Comparative Evaluation

Various parametric representations have been proposed to model the speec...

0 Onur Babacan, et al. ∙

research

∙ 06/07/2020

Analysis and Synthesis of Hypo and Hyperarticulated Speech

This paper focuses on the analysis and synthesis of hypo and hyperarticu...

0 Benjamin Picart, et al. ∙

research

∙ 05/24/2020

Glottal source estimation robustness: A comparison of sensitivity of voice source estimation techniques

This paper addresses the problem of estimating the voice source directly...

0 Thomas Drugman, et al. ∙

research

∙ 05/16/2020

Oscillating Statistical Moments for Speech Polarity Detection

An inversion of the speech polarity may have a dramatic detrimental effe...

0 Thomas Drugman, et al. ∙

research

∙ 05/16/2020

Glottal Source Estimation using an Automatic Chirp Decomposition

In a previous work, we showed that the glottal source can be estimated f...

0 Thomas Drugman, et al. ∙

research

∙ 05/10/2020

Audio and Contact Microphones for Cough Detection

In the framework of assessing the pathology severity in chronic cough di...

0 Thomas Drugman, et al. ∙

research

∙ 05/10/2020

Chirp Complex Cepstrum-based Decomposition for Asynchronous Glottal Analysis

It was recently shown that complex cepstrum can be effectively used for ...

0 Thomas Drugman, et al. ∙

research

∙ 01/02/2020

On the Mutual Information between Source and Filter Contributions for Voice Pathology Detection

This paper addresses the problem of automatic detection of voice patholo...

0 Thomas Drugman, et al. ∙

research

∙ 01/02/2020

Phase-based Information for Voice Pathology Detection

In most current approaches of speech processing, information is extracte...

0 Thomas Drugman, et al. ∙

research

∙ 01/02/2020

Excitation-based Voice Quality Analysis and Modification

This paper investigates the differences occuring in the excitation for d...

0 Thomas Drugman, et al. ∙

research

∙ 01/02/2020

Eigenresiduals for improved Parametric Speech Synthesis

Statistical parametric speech synthesizers have recently shown their abi...

0 Thomas Drugman, et al. ∙

research

∙ 01/02/2020

Assessment of Audio Features for Automatic Cough Detection

This paper addresses the issue of cough detection using only audio recor...

0 Thomas Drugman, et al. ∙

research

∙ 01/02/2020

A Comparative Evaluation of Pitch Modification Techniques

This paper addresses the problem of pitch modification, as an important ...

0 Thomas Drugman, et al. ∙

research

∙ 12/30/2019

Using a Pitch-Synchronous Residual Codebook for Hybrid HMM/Frame Selection Speech Synthesis

This paper proposes a method to improve the quality delivered by statist...

0 Thomas Drugman, et al. ∙

research

∙ 12/30/2019

Objective Study of Sensor Relevance for Automatic Cough Detection

The development of a system for the automatic, objective and reliable de...

0 Thomas Drugman, et al. ∙

research

∙ 12/30/2019

Causal-Anticausal Decomposition of Speech using Complex Cepstrum for Glottal Source Estimation

Complex cepstrum is known in the literature for linearly separating caus...

0 Thomas Drugman, et al. ∙

research

∙ 12/29/2019

A Comparative Study of Pitch Extraction Algorithms on a Large Variety of Singing Sounds

The problem of pitch tracking has been extensively studied in the speech...

0 Onur Babacan, et al. ∙

research

∙ 12/29/2019

Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation

Homomorphic analysis is a well-known method for the separation of non-li...

0 Thomas Drugman, et al. ∙

research

∙ 12/29/2019

The Deterministic plus Stochastic Model of the Residual Signal and its Applications

The modeling of speech production often relies on a source-filter approa...

0 Thomas Drugman, et al. ∙

research

∙ 12/29/2019

A Deterministic plus Stochastic Model of the Residual Signal for Improved Parametric Speech Synthesis

Speech generated by parametric synthesizers generally suffers from a typ...

0 Thomas Drugman, et al. ∙

research

∙ 12/28/2019

A Comparative Study of Glottal Source Estimation Techniques

Source-tract decomposition (or glottal flow estimation) is one of the ba...

0 Thomas Drugman, et al. ∙

research

∙ 12/28/2019

Glottal Closure and Opening Instant Detection from Speech Signals

This paper proposes a new procedure to detect Glottal Closure and Openin...

0 Thomas Drugman, et al. ∙

research

∙ 12/28/2019

Detection of Glottal Closure Instants from Speech Signals: a Quantitative Review

The pseudo-periodicity of voiced speech can be exploited in several spee...

0 Thomas Drugman, et al. ∙

research

∙ 10/14/2019

The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach

As part of the Human-Computer Interaction field, Expressive speech synth...

0 Noé Tits, et al. ∙

research

∙ 03/27/2019

Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis

The field of Text-to-Speech has experienced huge improvements last years...

0 Noé Tits, et al. ∙

research

∙ 01/14/2019

Exploring Transfer Learning for Low Resource Emotional TTS

During the last few years, spoken language technologies have known a big...

0 Noé Tits, et al. ∙

research

∙ 06/25/2018

The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

In this paper, we present a database of emotional speech intended to be ...

0 Adaeze Adigwe, et al. ∙

research

∙ 05/23/2018

ASR-based Features for Emotion Recognition: A Transfer Learning Approach

During the last decade, the applications of signal processing have drast...

0 Noé Tits, et al. ∙

research

∙ 07/22/2013

A study of parameters affecting visual saliency assessment

Since the early 2000s, computational visual saliency has been a very act...

0 Nicolas Riche, et al. ∙

Thierry Dutoit

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