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20182026
most citedData Augmenting Contrastive Learning of Speech Representations in the Time Domain

93 citations · 163 across the 7 of their papers we have counts for

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cs.CL20241 cited

IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages

Tahir Javed, Janki Atul Nawale, Eldho Ittan George +18

We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speaker…

cs.CL2021

The Zero Resource Speech Challenge 2021: Spoken language modelling

Ewan Dunbar, Mathieu Bernard, Nicolas Hamilakis +6

We present the Zero Resource Speech Challenge 2021, which asks participants to learn a language model directly from audio, without any text or labels. The challenge is based on the…

cs.CL2021

VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation

Changhan Wang, Morgane Rivière, Ann Lee +6

We introduce VoxPopuli, a large-scale multilingual corpus providing 100K hours of unlabelled speech data in 23 languages. It is the largest open data to date for unsupervised repre…

cs.CL202042 cited

The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling

Tu Anh Nguyen, Maureen de Seyssel, Patricia Rozé +5

We introduce a new unsupervised task, spoken language modeling: the learning of linguistic representations from raw audio signals without any labels, along with the Zero Resource S…

cs.CL2019

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…