Search Results for author: Marvin Lavechin

Found 9 papers, 7 papers with code

BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models

1 code implementation2 Jun 2023 Marvin Lavechin, Yaya Sy, Hadrien Titeux, María Andrea Cruz Blandón, Okko Räsänen, Hervé Bredin, Emmanuel Dupoux, Alejandrina Cristia

Self-supervised techniques for learning speech representations have been shown to develop linguistic competence from exposure to speech without the need for human labels.

Benchmarking Language Acquisition

Probing phoneme, language and speaker information in unsupervised speech representations

no code implementations30 Mar 2022 Maureen de Seyssel, Marvin Lavechin, Yossi Adi, Emmanuel Dupoux, Guillaume Wisniewski

Language information, however, is very salient in the bilingual model only, suggesting CPC models learn to discriminate languages when trained on multiple languages.

Language Modelling

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

1 code implementation26 May 2020 Marvin Lavechin, Ruben Bousbib, Hervé Bredin, Emmanuel Dupoux, Alejandrina Cristia

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.

Language Acquisition Vocal Bursts Type Prediction

End-to-end Domain-Adversarial Voice Activity Detection

1 code implementation23 Oct 2019 Marvin Lavechin, Marie-Philippe Gill, Ruben Bousbib, Hervé Bredin, Leibny Paola Garcia-Perera

In the in-domain scenario where the training and test sets cover the exact same domains, we show that the domain-adversarial approach does not degrade performance of the proposed end-to-end model.

Audio and Speech Processing I.2.7

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