2 citations · 3 across the 6 of their papers we have counts for
6 papers
Articulatory Configurations across Genders and Periods in French Radio and TV archives
Benjamin Elie, David Doukhan, Rémi Uro +3
This paper studies changes in articulatory configurations across genders and periods using an inversion from acoustic to articulatory parameters. From a diachronic corpus based on…
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…
InaGVAD : a Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation
David Doukhan, Christine Maertens, William Le Personnic +2
InaGVAD is an audio corpus collected from 10 French radio and 18 TV channels categorized into 4 groups: generalist radio, music radio, news TV, and generalist TV. It contains 277 1…
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…
Evolution of Voices in French Audiovisual Media Across Genders and Age in a Diachronic Perspective
Albert Rilliard, David Doukhan, Rémi Uro +1
We present a diachronic acoustic analysis of the voice of 1023 speakers from French media archives. The speakers are spread across 32 categories based on four periods (years 1955/5…
Voice Passing : a Non-Binary Voice Gender Prediction System for evaluating Transgender voice transition
David Doukhan, Simon Devauchelle, Lucile Girard-Monneron +4
This paper presents a software allowing to describe voices using a continuous Voice Femininity Percentage (VFP). This system is intended for transgender speakers during their voice…