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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

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 461 cited

Libri-Light: A Benchmark for ASR with Limited or No Supervision

Jacob Kahn, Morgane Rivière, Weiyi Zheng +12

We introduce a new collection of spoken English audio suitable for training speech recognition systems under limited or no supervision. It is derived from open-source audio books f…

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…

cs.CL2019★ 1 cited

Neural language modeling of free word order argument structure

Charlotte Rochereau, Benoît Sagot, Emmanuel Dupoux

Neural language models trained with a predictive or masked objective have proven successful at capturing short and long distance syntactic dependencies. Here, we focus on verb argu…

cs.CL2019

Word-order biases in deep-agent emergent communication

Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric +2

Sequence-processing neural networks led to remarkable progress on many NLP tasks. As a consequence, there has been increasing interest in understanding to what extent they process…

cs.CL2019★ 68 cited

Anti-efficient encoding in emergent communication

Rahma Chaabouni, Eugene Kharitonov, Emmanuel Dupoux +1

Despite renewed interest in emergent language simulations with neural networks, little is known about the basic properties of the induced code, and how they compare to human langua…

cs.CL2019

The Zero Resource Speech Challenge 2019: TTS without T

Ewan Dunbar, Robin Algayres, Julien Karadayi +10

We present the Zero Resource Speech Challenge 2019, which proposes to build a speech synthesizer without any text or phonetic labels: hence, TTS without T (text-to-speech without t…