Zobrazeno 1 - 10
of 430
pro vyhledávání: '"CRISTIA, Alejandrina"'
Autor:
Lavechin, Marvin, Sy, Yaya, Titeux, Hadrien, Blandón, María Andrea Cruz, Räsänen, Okko, Bredin, Hervé, Dupoux, Emmanuel, Cristia, Alejandrina
Self-supervised techniques for learning speech representations have been shown to develop linguistic competence from exposure to speech without the need for human labels. In order to fully realize the potential of these approaches and further our und
Externí odkaz:
http://arxiv.org/abs/2306.01506
Modelling of early language acquisition aims to understand how infants bootstrap their language skills. The modelling encompasses properties of the input data used for training the models, the cognitive hypotheses and their algorithmic implementation
Externí odkaz:
http://arxiv.org/abs/2305.01965
Autor:
Lavechin, Marvin, Métais, Marianne, Titeux, Hadrien, Boissonnet, Alodie, Copet, Jade, Rivière, Morgane, Bergelson, Elika, Cristia, Alejandrina, Dupoux, Emmanuel, Bredin, Hervé
Most automatic speech processing systems register degraded performance when applied to noisy or reverberant speech. But how can one tell whether speech is noisy or reverberant? We propose Brouhaha, a neural network jointly trained to extract speech/n
Externí odkaz:
http://arxiv.org/abs/2210.13248
Publikováno v:
In Infant Behavior and Development December 2024 77
Autor:
Alishahi, Afra, Chrupała, Grzegorz, Cristia, Alejandrina, Dupoux, Emmanuel, Higy, Bertrand, Lavechin, Marvin, Räsänen, Okko, Yu, Chen
We present the visually-grounded language modelling track that was introduced in the Zero-Resource Speech challenge, 2021 edition, 2nd round. We motivate the new track and discuss participation rules in detail. We also present the two baseline system
Externí odkaz:
http://arxiv.org/abs/2107.06546
Autor:
Lavechin, Marvin, de Seyssel, Maureen, Métais, Marianne, Metze, Florian, Mohamed, Abdelrahman, Bredin, Hervé, Dupoux, Emmanuel, Cristia, Alejandrina
Publikováno v:
In Cognition April 2024 245
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. Nevertheless, building speech processing models handling such a wide variety
Externí odkaz:
http://arxiv.org/abs/2005.12656
Autor:
Titeux, Hadrien, Riad, Rachid, Cao, Xuan-Nga, Hamilakis, Nicolas, Madden, Kris, Cristia, Alejandrina, Bachoud-Lévi, Anne-Catherine, Dupoux, Emmanuel
Publikováno v:
LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.6976-6982
We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora. The Seshat software allows users to easily customise and manage annotations of large audio corpora while ensuring compliance with the for
Externí odkaz:
http://arxiv.org/abs/2003.01472
Akademický článek
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Autor:
Garcia, Paola, Villalba, Jesus, Bredin, Herve, Du, Jun, Castan, Diego, Cristia, Alejandrina, Bullock, Latane, Guo, Ling, Okabe, Koji, Nidadavolu, Phani Sankar, Kataria, Saurabh, Chen, Sizhu, Galmant, Leo, Lavechin, Marvin, Sun, Lei, Gill, Marie-Philippe, Ben-Yair, Bar, Abdoli, Sajjad, Wang, Xin, Bouaziz, Wassim, Titeux, Hadrien, Dupoux, Emmanuel, Lee, Kong Aik, Dehak, Najim
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 tackle a wide range of conditions that go from meetings to wild speech. We
Externí odkaz:
http://arxiv.org/abs/1912.00938