A Likelihood Ratio Based Domain Adaptation Method for E2E Models
Author:
Affiliation:
1. Amazon Alexa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746480.pdf?arnumber=9746480
Reference21 articles.
1. Recognizing Long-Form Speech Using Streaming End-to-End Models
2. A Density Ratio Approach to Language Model Fusion in End-to-End Automatic Speech Recognition
3. Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition
4. Improved Training of End-to-end Attention Models for Speech Recognition
5. Exploring neural transducers for end-to-end speech recognition;battenberg;Automatic Speech Recognition and Understanding (ASRU) 2017 IEEE Workshop on,2017
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2. Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
3. Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
4. Internal Language Model Estimation Based Adaptive Language Model Fusion for Domain Adaptation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
5. Mask the Bias: Improving Domain-Adaptive Generalization of CTC-Based ASR with Internal Language Model Estimation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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