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20172025
most citedAISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

201 citations · 413 across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SD2020★ 2 cited

IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

Yihui Fu, Zhuoyuan Yao, Weipeng He +9

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speech Challenge (ASC) is intended to improve research on keyword spotting (KWS) and sound source location (SSL)…

cs.SD2020★ 82 cited

AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines

Yao Shi, Hui Bu, Xin Xu +2

In this paper, we present AISHELL-3, a large-scale and high-fidelity multi-speaker Mandarin speech corpus which could be used to train multi-speaker Text-to-Speech (TTS) systems. T…

eess.AS2020★ 3 cited

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge

Xiaoyi Qin, Ming Li, Hui Bu +4

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020) addresses three different research problems under well-defined conditions: far-field text-dependent speak…

cs.SD2020★ 8 cited

The FFSVC 2020 Evaluation Plan

Xiaoyi Qin, Ming Li, Hui Bu +4

The Far-Field Speaker Verification Challenge 2020 (FFSVC20) is designed to boost the speaker verification research with special focus on far-field distributed microphone arrays und…

cs.SD2020★ 1 cited

HI-MIA : A Far-field Text-Dependent Speaker Verification Database and the Baselines

Xiaoyi Qin, Hui Bu, Ming Li

This paper presents a far-field text-dependent speaker verification database named HI-MIA. We aim to meet the data requirement for far-field microphone array based speaker verifica…