Unsupervised Model Adaptation for End-to-End ASR
Author:
Affiliation:
1. Pindrop,Atlanta,GA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746188.pdf?arnumber=9746188
Reference21 articles.
1. Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation
2. Language Adaptive Multilingual CTC Speech Recognition
3. Speaker adaptation of neural network acoustic models using i-vectors
4. Auxiliary Feature Based Adaptation of End-to-end ASR Systems
5. Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven SelfTraining;khurana;ICASSP,2021
Cited by 2 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. Towards High-Performance and Low-Latency Feature-Based Speaker Adaptation of Conformer Speech Recognition Systems;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023
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