A Configurable Multilingual Model is All You Need to Recognize All Languages
Author:
Affiliation:
1. Microsoft Research Asia
2. Microsoft Speech and Language Group
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747905.pdf?arnumber=9747905
Reference30 articles.
1. Decoupled weight decay regularization;loshchilov,2017
2. On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition
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5. Towards Language-Universal End-to-End Speech Recognition
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2. A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
3. Building High-Accuracy Multilingual ASR With Gated Language Experts and Curriculum Training;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
4. Robust End-to-End Diarization with Domain Adaptive Training and Multi-Task Learning;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
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