Albert Rilliard


2022

pdf
A Semi-Automatic Approach to Create Large Gender- and Age-Balanced Speaker Corpora: Usefulness of Speaker Diarization & Identification.
Rémi Uro | David Doukhan | Albert Rilliard | Laetitia Larcher | Anissa-Claire Adgharouamane | Marie Tahon | Antoine Laurent
Proceedings of the Thirteenth Language Resources and Evaluation Conference

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 genders, 4 age ranges and 4 recording periods). Corpora were selected at French National Institute of Audiovisual (INA) to obtain at least 30 speakers per category (a total of 960 speakers; only 874 have be found yet). For each speaker, speech excerpts were extracted from audiovisual documents using an automatic pipeline consisting of speech detection, background music and overlapped speech removal and speaker diarization, used to present clean speaker segments to human annotators identifying target speakers. This pipeline proved highly effective, cutting down manual processing by a factor of ten. Evaluation of the quality of the automatic processing and of the final output is provided. It shows the automatic processing compare to up-to-date process, and that the output provides high quality speech for most of the selected excerpts. This method is thus recommendable for creating large corpora of known target speakers.

pdf
Annotation of expressive dimensions on a multimodal French corpus of political interviews
Jules Cauzinille | Marc Evrard | Nikita Kiselov | Albert Rilliard
Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences

We present a French corpus of political interviews labeled at the utterance level according to expressive dimensions such as Arousal. This corpus consists of 7.5 hours of high-quality audio-visual recordings with transcription. At the time of this publication, 1 hour of speech was segmented into short utterances, each manually annotated in Arousal. Our segmentation approach differs from similar corpora and allows us to perform an automatic Arousal prediction baseline by building a speech-based classification model. Although this paper focuses on the acoustic expression of Arousal, it paves the way for future work on conflictual and hostile expression recognition as well as multimodal architectures.

2018

pdf
A Speaking Atlas of the Regional Languages of France
Philippe Boula de Mareüil | Albert Rilliard | Frédéric Vernier
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2016

pdf
Cartopho : un site web de cartographie de variantes de prononciation en français (Cartopho: a website for mapping pronunciation variants in French)
Philippe Boula de Mareüil | Jean-Philippe Goldman | Albert Rilliard | Yves Scherrer | Frédéric Vernier
Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 1 : JEP

Le présent travail se propose de renouveler les traditionnels atlas dialectologiques pour cartographier les variantes de prononciation en français, à travers un site internet. La toile est utilisée non seulement pour collecter des données, mais encore pour disséminer les résultats auprès des chercheurs et du grand public. La méthodologie utilisée, à base de crowdsourcing (ou « production participative »), nous a permis de recueillir des informations auprès de 2500 francophones d’Europe (France, Belgique, Suisse). Une plateforme dynamique à l’interface conviviale a ensuite été développée pour cartographier la prononciation de 70 mots dans les différentes régions des pays concernés (des mots notamment à voyelle moyenne ou dont la consonne finale peut être prononcée ou non). Les options de visualisation par département/canton/province ou par région, combinant plusieurs traits de prononciation et ensembles de mots, sous forme de pastilles colorées, de hachures, etc. sont présentées dans cet article. On peut ainsi observer immédiatement un /E/ plus fermé (ainsi qu’un /O/ plus ouvert) dans le Nord-Pas-de-Calais et le sud de la France, pour des mots comme parfait ou rose, un /Œ/ plus fermé en Suisse pour un mot comme gueule, par exemple.

2012

pdf
Designing French Tale Corpora for Entertaining Text To Speech Synthesis
David Doukhan | Sophie Rosset | Albert Rilliard | Christophe d’Alessandro | Martine Adda-Decker
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

Text and speech corpora for training a tale telling robot have been designed, recorded and annotated. The aim of these corpora is to study expressive storytelling behaviour, and to help in designing expressive prosodic and co-verbal variations for the artificial storyteller). A set of 89 children tales in French serves as a basis for this work. The tales annotation principles and scheme are described, together with the corpus description in terms of coverage and inter-annotator agreement. Automatic analysis of a new tale with the help of this corpus and machine learning is discussed. Metrics for evaluation of automatic annotation methods are discussed. A speech corpus of about 1 hour, with 12 tales has been recorded and aligned and annotated. This corpus is used for predicting expressive prosody in children tales, above the level of the sentence.

pdf
Entends-tu mes attitudes ? Perception de la prosodie des affects sociaux en chinois Mandarin (Do you hear my attitudes? Perception of Mandarin Chinese social affects’ prosody) [in French]
Yan Lu | Véronique Aubergé | Albert Rilliard
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 1: JEP

pdf
Questions corses : peut-on mettre en évidence un transfert prosodique du corse vers le français ? (Corsican questions: is there a prosodic transfer from Corsican to French?) [in French]
Philippe Boula de Mareüil | Albert Rilliard | Paolo Mairano | Jean-Pierre Lai
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, volume 1: JEP

2008

pdf
Multimodal Spontaneous Expressive Speech Corpus for Hungarian
Márk Fék | Nicolas Audibert | János Szabó | Albert Rilliard | Géza Németh | Véronique Aubergé
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

A Hungarian multimodal spontaneous expressive speech corpus was recorded following the methodology of a similar French corpus. The method relied on a Wizard of Oz scenario-based induction of varying affective states. The subjects were interacting with a supposedly voice-recognition driven computer application using simple command words. Audio and video signals were captured for the 7 recorded subjects. After the experiment, the subjects watched the video recording of their session and labelled the recorded corpus themselves, freely describing the evolution of their affective states. The obtained labels were later classified into one of the following broad emotional categories: satisfaction, dislike, stress, or other. A listening test was performed by 25 naïve listeners in order to validate the category labels originating from the self-labelling. For 52 of the 149 stimuli, listeners’ judgements of the emotional content were in agreement with the labels. The result of the listening test was compared with an earlier test validating a part of the French corpus. While the French test had a higher success ratio, validating the labels of 79 tested stimuli, out of the 193, the stimuli validated by the two tests can form the basis of cross linguistic comparison experiments.

2004

pdf
E-Wiz: a Trapper Protocol for Hunting the Expressive Speech Corpora in Lab
Véronique Aubergé | Nicolas Audibert | Albert Rilliard
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

pdf
Evaluating an Authentic Audio-Visual Expressive Speech Corpus
Albert Rilliard | Véronique Aubergé | Nicolas Audibert
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

2000

pdf
Perception and Analysis of a Reiterant Speech Paradigm: a Functional Diagnostic of Synthetic Prosody
Albert Rilliard | Véronique Aubergé
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)