International audienceWe describe a new challenge aimed at discovering subword and word units from raw speech. This challenge is the fol-lowup to the Zero Resource Speech Challenge 2015. It aims at constructing systems that generalize across languages and adapt to new speakers. The design features and evaluation metrics of the challenge are presented and the results of seventeen models are discussed
International audienceIn this paper, we present a data set and methods to compare speech processing ...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
We present an overview of the ASR challenge for non-native children’s speech organized for a specia...
AbstractThis paper reports on the results of the Zero Resource Speech Challenge 2015, the first unif...
The Interspeech 2015 Zero Resource Speech Challenge aims at discovering subword and word units from ...
International audienceWe present the Zero Resource Speech Challenge 2020, which aims at learning spe...
International audienceRecent progress in self-supervised or unsupervised machine learning has opened...
International audienceWe present the Zero Resource Speech Challenge 2019, which proposes to build a ...
Submitted to Interspeech 2021. arXiv admin note: text overlap with arXiv:2011.11588International aud...
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and sc...
We summarize the accomplishments of a multi-disciplinary work-shop exploring the computational and s...
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and sc...
How can we effectively develop speech technology for languages where no transcribed data is availabl...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
International audienceIn this paper we aim to enhance keyword search for conversational telephone sp...
International audienceIn this paper, we present a data set and methods to compare speech processing ...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
We present an overview of the ASR challenge for non-native children’s speech organized for a specia...
AbstractThis paper reports on the results of the Zero Resource Speech Challenge 2015, the first unif...
The Interspeech 2015 Zero Resource Speech Challenge aims at discovering subword and word units from ...
International audienceWe present the Zero Resource Speech Challenge 2020, which aims at learning spe...
International audienceRecent progress in self-supervised or unsupervised machine learning has opened...
International audienceWe present the Zero Resource Speech Challenge 2019, which proposes to build a ...
Submitted to Interspeech 2021. arXiv admin note: text overlap with arXiv:2011.11588International aud...
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and sc...
We summarize the accomplishments of a multi-disciplinary work-shop exploring the computational and s...
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and sc...
How can we effectively develop speech technology for languages where no transcribed data is availabl...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
International audienceIn this paper we aim to enhance keyword search for conversational telephone sp...
International audienceIn this paper, we present a data set and methods to compare speech processing ...
In today's society, speech recognition systems have reached a mass audience, especially in the field...
We present an overview of the ASR challenge for non-native children’s speech organized for a specia...