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20182024
most citedA Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis

105 citations · 109 across the 10 of their papers we have counts for

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6 papers · 1 filter

eess.AS2024

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…

eess.AS20203 cited

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…

eess.AS2020

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…

eess.AS2019

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…

eess.AS2019

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…

eess.AS2018

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…