WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit-Reference-Cited by-同舟云学术

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WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit

Published:2022-09-18 Issue: Volume: Page:
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Container-title:Interspeech 2022
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Author:

Zhang Binbin,Wu Di,Peng Zhendong,Song Xingchen,Yao Zhuoyuan,Lv Hang,Xie Lei,Yang Chao,Pan Fuping,Niu Jianwei

Publisher

ISCA

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SSCFormer: Push the Limit of Chunk-Wise Conformer for Streaming ASR Using Sequentially Sampled Chunks and Chunked Causal Convolution;IEEE Signal Processing Letters;2024

2. Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. Acoustic Model Fusion For End-to-End Speech Recognition;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Cross-Modal Alignment With Optimal Transport For CTC-Based ASR;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

5. PP-MET: A Real-World Personalized Prompt Based Meeting Transcription System;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

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