End-to-End Speech Recognition Sequence Training With Reinforcement Learning
End-to-end sequence modeling has become a popular choice for automatic speech recognition (ASR) because of the simpler pipeline compared to the conventional system and its excellent performance. However, there are several drawbacks in the end-to-end ASR model training where the current time-step pre...
Main Authors: | Andros Tjandra, Sakriani Sakti, Satoshi Nakamura |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8735756/ |
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