activity
20202024
most citedOn the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition

55 citations · 66 across the 7 of their papers we have counts for

collaborators

8 papers

eess.AS2024

Detecting the terminality of speech-turn boundary for spoken interactions in French TV and Radio content

Rémi Uro, Marie Tahon, David Doukhan +2

Transition Relevance Places are defined as the end of an utterance where the interlocutor may take the floor without interrupting the current speaker --i.e., a place where the turn…

eess.AS2024★ 2 cited

A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification

Rémi Uro, David Doukhan, Albert Rilliard +4

This paper presents a semi-automatic approach to create a diachronic corpus of voices balanced for speaker's age, gender, and recording period, according to 32 categories (2 gender…

eess.AS2023

Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations

Manon Macary, Marie Tahon, Yannick Estève +1

The goal of our research is to automatically retrieve the satisfaction and the frustration in real-life call-center conversations. This study focuses an industrial application in w…

cs.SD2023★ 1 cited

Joint speech and overlap detection: a benchmark over multiple audio setup and speech domains

Martin Lebourdais, Théo Mariotte, Marie Tahon +5

Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization. The final segmentation performance highly relies on…

eess.AS2023★ 5 cited

Evaluation of Speaker Anonymization on Emotional Speech

Hubert Nourtel, Pierre Champion, Denis Jouvet +2

Speech data carries a range of personal information, such as the speaker's identity and emotional state. These attributes can be used for malicious purposes. With the development o…

cs.SD2022★ 3 cited

Training speech emotion classifier without categorical annotations

Meysam Shamsi, Marie Tahon

There are two paradigms of emotion representation, categorical labeling and dimensional description in continuous space. Therefore, the emotion recognition task can be treated as a…

cs.SD2022

Overlapped speech and gender detection with WavLM pre-trained features

Martin Lebourdais, Marie Tahon, Antoine Laurent +1

This article focuses on overlapped speech and gender detection in order to study interactions between women and men in French audiovisual media (Gender Equality Monitoring project)…

cs.CL2020★ 55 cited

On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition

Manon Macary, Marie Tahon, Yannick Estève +1

Pre-training for feature extraction is an increasingly studied approach to get better continuous representations of audio and text content. In the present work, we use wav2vec and…