Bayesian Neural Network Language Modeling for Speech Recognition
Author:
Affiliation:
1. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, SAR, China
2. Nanyang Technological University, Singapore
Funder
Hong Kong Research Council GRF
Innovation and Technology Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9657755/09874985.pdf?arnumber=9874985
Reference103 articles.
1. Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer
2. Transformer-Based Acoustic Modeling for Hybrid Speech Recognition
3. Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSR
4. Sequence discriminative distributed training of long short-term memory recurrent neural networks
5. Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI
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