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20202024
most citedUnified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

46 citations · 70 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SD2020★ 46 cited

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

Binbin Zhang, Di Wu, Zhuoyuan Yao +7

In this paper, we present a novel two-pass approach to unify streaming and non-streaming end-to-end (E2E) speech recognition in a single model. Our model adopts the hybrid CTC/atte…

cs.SD2020

Accent and Speaker Disentanglement in Many-to-many Voice Conversion

Zhichao Wang, Wenshuo Ge, Xiong Wang +6

This paper proposes an interesting voice and accent joint conversion approach, which can convert an arbitrary source speaker's voice to a target speaker with non-native accent. Thi…

cs.SD2020

Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter

Xiong Wang, Zhuoyuan Yao, Xian Shi +1

End-to-end models are favored in automatic speech recognition (ASR) because of its simplified system structure and superior performance. Among these models, recurrent neural networ…

cs.SD2020

The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines

Fan Yu, Zhuoyuan Yao, Xiong Wang +6

Automatic speech recognition (ASR) has been significantly advanced with the use of deep learning and big data. However improving robustness, including achieving equally good perfor…

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)…