3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition
Author:
Affiliation:
1. Tencent AI Lab,Shenzhen,China
2. Tencent AI Lab,Bellevue,WA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10037756/10037573/10037818.pdf?arnumber=10037818
Reference20 articles.
1. Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
2. Deep mixture of experts via shallow embedding;wang;Uncertainty in Artificial Intelligence,2020
3. Network of Experts for Large-Scale Image Categorization
4. Wenetspeech: A10000+ hours multi-domain mandarin corpus for speech recognition;zhang,2022
Cited by 1 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. CIF-T: A Novel CIF-Based Transducer Architecture for Automatic Speech Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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