activity
20192022
most citedLibri-Light: A Benchmark for ASR with Limited or No Supervision

461 citations · 481 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2022

Federated Domain Adaptation for ASR with Full Self-Supervision

Junteng Jia, Jay Mahadeokar, Weiyi Zheng +3

Cross-device federated learning (FL) protects user privacy by collaboratively training a model on user devices, therefore eliminating the need for collecting, storing, and manually…

cs.CL2021

Scaling ASR Improves Zero and Few Shot Learning

Alex Xiao, Weiyi Zheng, Gil Keren +6

With 4.5 million hours of English speech from 10 different sources across 120 countries and models of up to 10 billion parameters, we explore the frontiers of scale for automatic s…

cs.CL2021★ 5 cited

Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric

Suyoun Kim, Duc Le, Weiyi Zheng +6

Measuring automatic speech recognition (ASR) system quality is critical for creating user-satisfying voice-driven applications. Word Error Rate (WER) has been traditionally used to…

cs.SD2020★ 6 cited

Interactive Text-to-Speech System via Joint Style Analysis

Yang Gao, Weiyi Zheng, Zhaojun Yang +3

While modern TTS technologies have made significant advancements in audio quality, there is still a lack of behavior naturalness compared to conversing with people. We propose a st…

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★ 9 cited

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

Duc Le, Xiaohui Zhang, Weiyi Zheng +3

There is an implicit assumption that traditional hybrid approaches for automatic speech recognition (ASR) cannot directly model graphemes and need to rely on phonetic lexicons to g…