105 citations · 161 across the 13 of their papers we have counts for
16 papers
TIPAA-SSL: Text Independent Phone-to-Audio Alignment based on Self-Supervised Learning and Knowledge Transfer
Noé Tits, Prernna Bhatnagar, Thierry Dutoit
In this paper, we present a novel approach for text independent phone-to-audio alignment based on phoneme recognition, representation learning and knowledge transfer. Our method le…
MUST&P-SRL: Multi-lingual and Unified Syllabification in Text and Phonetic Domains for Speech Representation Learning
Noé Tits
In this paper, we present a methodology for linguistic feature extraction, focusing particularly on automatically syllabifying words in multiple languages, with a design to be comp…
Flowchase: a Mobile Application for Pronunciation Training
Noé Tits, Zoé Broisson
In this paper, we present a solution for providing personalized and instant feedback to English learners through a mobile application, called Flowchase, that is connected to a spee…
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
Victor Delvigne, Noé Tits, Luca La Fisca +5
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, artificial intelligence and medicine. One of the most common…
Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system
Noé Tits, Kevin El Haddad, Thierry Dutoit
In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control. The dataset is the Blizzard 2013 dataset based on audiobooks…
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition
Jean-Benoit Delbrouck, Noé Tits, Stéphane Dupont
This paper aims to bring a new lightweight yet powerful solution for the task of Emotion Recognition and Sentiment Analysis. Our motivation is to propose two architectures based on…
ICE-Talk: an Interface for a Controllable Expressive Talking Machine
Noé Tits, Kevin El Haddad, Thierry Dutoit
ICE-Talk is an open source web-based GUI that allows the use of a TTS system with controllable parameters via a text field and a clickable 2D plot. It enables the study of latent s…
Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning
Noé Tits, Kevin El Haddad, Thierry Dutoit
Despite the growing interest for expressive speech synthesis, synthesis of nonverbal expressions is an under-explored area. In this paper we propose an audio laughter synthesis sys…
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche +1
Understanding expressed sentiment and emotions are two crucial factors in human multimodal language. This paper describes a Transformer-based joint-encoding (TBJE) for the task of…
The Theory behind Controllable Expressive Speech Synthesis: a Cross-disciplinary Approach
Noé Tits, Kevin El Haddad, Thierry Dutoit
As part of the Human-Computer Interaction field, Expressive speech synthesis is a very rich domain as it requires knowledge in areas such as machine learning, signal processing, so…
A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach
Noé Tits
In this project, we aim to build a Text-to-Speech system able to produce speech with a controllable emotional expressiveness. We propose a methodology for solving this problem in t…
Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis
Noé Tits, Fengna Wang, Kevin El Haddad +2
The field of Text-to-Speech has experienced huge improvements last years benefiting from deep learning techniques. Producing realistic speech becomes possible now. As a consequence…
Exploring Transfer Learning for Low Resource Emotional TTS
Noé Tits, Kevin El Haddad, Thierry Dutoit
During the last few years, spoken language technologies have known a big improvement thanks to Deep Learning. However Deep Learning-based algorithms require amounts of data that ar…
The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems
Adaeze Adigwe, Noé Tits, Kevin El Haddad +2
In this paper, we present a database of emotional speech intended to be open-sourced and used for synthesis and generation purpose. It contains data for male and female actors in E…
ASR-based Features for Emotion Recognition: A Transfer Learning Approach
Noé Tits, Kevin El Haddad, Thierry Dutoit
During the last decade, the applications of signal processing have drastically improved with deep learning. However areas of affecting computing such as emotional speech synthesis…
Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces
Matei Mancas, Christian Frisson, Joëlle Tilmanne +71
The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted by the Numediart Institute of Creative Technologies of the University of Mons from August 10th to Septem…