activity
20142022
most citedLibri-Light: A Benchmark for ASR with Limited or No Supervision

461 citations · 1.1k across the 30 of their papers we have counts for

collaborators
Showing eess.ASShow all

7 papers · 1 filter

eess.AS2020

Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews

Rachid Riad, Hadrien Titeux, Laurie Lemoine +6

Conversations between a clinician and a patient, in natural conditions, are valuable sources of information for medical follow-up. The automatic analysis of these dialogues could h…

eess.AS2020★ 5 cited

Vocal markers from sustained phonation in Huntington's Disease

Rachid Riad, Hadrien Titeux, Laurie Lemoine +5

Disease-modifying treatments are currently assessed in neurodegenerative diseases. Huntington's Disease represents a unique opportunity to design automatic sub-clinical markers, ev…

eess.AS2020★ 93 cited

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve +4

Contrastive Predictive Coding (CPC), based on predicting future segments of speech based on past segments is emerging as a powerful algorithm for representation learning of speech…

eess.AS2020

Evaluating the reliability of acoustic speech embeddings

Robin Algayres, Mohamed Salah Zaiem, Benoit Sagot +1

Speech embeddings are fixed-size acoustic representations of variable-length speech sequences. They are increasingly used for a variety of tasks ranging from information retrieval…

eess.AS2020★ 60 cited

An open-source voice type classifier for child-centered daylong recordings

Marvin Lavechin, Ruben Bousbib, Hervé Bredin +2

Spontaneous conversations in real-world settings such as those found in child-centered recordings have been shown to be amongst the most challenging audio files to process. Neverth…

eess.AS2020

Unsupervised pretraining transfers well across languages

Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré +1

Cross-lingual and multi-lingual training of Automatic Speech Recognition (ASR) has been extensively investigated in the supervised setting. This assumes the existence of a parallel…

eess.AS2019

Speaker detection in the wild: Lessons learned from JSALT 2019

Paola Garcia, Jesus Villalba, Herve Bredin +21

This paper presents the problems and solutions addressed at the JSALT workshop when using a single microphone for speaker detection in adverse scenarios. The main focus was to tack…