On Language Model Integration for RNN Transducer Based Speech Recognition
Author:
Affiliation:
1. RWTH Aachen University,Human Language Technology and Pattern Recognition, Computer Science Department,Aachen,Germany,52074
Funder
Google
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746948.pdf?arnumber=9746948
Reference30 articles.
1. Alignment-Length Synchronous Decoding for RNN Transducer
2. A Density Ratio Approach to Language Model Fusion in End-to-End Automatic Speech Recognition
3. Hybrid Autoregressive Transducer (HAT)
4. Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
5. Librispeech Transducer Model with Internal Language Model Prior Correction
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2. Investigating The Effect of Language Models in Sequence Discriminative Training For Neural Transducers;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
3. ED-CEC: Improving Rare word Recognition Using ASR Postprocessing Based on Error Detection and Context-Aware Error Correction;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
4. Towards Zero-Shot Code-Switched Speech Recognition;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
5. Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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