activity
20172026
most citedGigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

216 citations · 470 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2026

GigaSpeechBench: A Real-World Multilingual Speech-to-Text Benchmark

Yujie Tu, Yifan Yang, Tianrui Wang +35

While modern ASR systems achieve low error rates on high-resource benchmarks, such performance often overestimates real-world robustness. Existing evaluations address challenges in…

cs.CL2024★ 3 cited

SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech Recognition Evaluation

Jiayu Du, Jinpeng Li, Guoguo Chen +1

In the wake of the surging tide of deep learning over the past decade, Automatic Speech Recognition (ASR) has garnered substantial attention, leading to the emergence of numerous p…

cs.SD2021★ 216 cited

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Guoguo Chen, Shuzhou Chai, Guanbo Wang +18

This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and…

cs.CL2018★ 201 cited

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

Jiayu Du, Xingyu Na, Xuechen Liu +1

AISHELL-1 is by far the largest open-source speech corpus available for Mandarin speech recognition research. It was released with a baseline system containing solid training and t…

cs.CL2017★ 50 cited

AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

Hui Bu, Jiayu Du, Xingyu Na +2

An open-source Mandarin speech corpus called AISHELL-1 is released. It is by far the largest corpus which is suitable for conducting the speech recognition research and building sp…