Recognizing Long-Form Speech Using Streaming End-to-End Models-Reference-Cited by-同舟云学术

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Recognizing Long-Form Speech Using Streaming End-to-End Models

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
language:
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Author:

Narayanan Arun,Prabhavalkar Rohit,Chiu Chung-Cheng,Rybach David,Sainath Tara N.,Strohman Trevor

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8985378/9003727/09003913.pdf?arnumber=9003913

Cited by 84 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. Investigating End-to-End ASR Architectures for Long Form Audio Transcription;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. PromptASR for Contextualized ASR with Controllable Style;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Improving Speech Recognition for African American English with Audio Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Train Long and Test Long:Leveraging Full Document Contexts in Speech Processing;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Updated Corpora and Benchmarks for Long-Form Speech Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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