Fine-Tuning Self-Supervised Models for Language Identification Using Orthonormal Constraint
Author:
Affiliation:
1. Idiap Research Institute,Martigny,Switzerland
2. University of León,León,Spain
3. Ghent University - Imec,IDLab,Ghent,Belgium
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446751.pdf?arnumber=10446751
Reference28 articles.
1. wav2vec 2.0: A framework for self-supervised learning of speech representations;Baevski;Advances in neural information processing systems,2020
2. Unsupervised cross-lingual representation learning for speech recognition;Conneau,2020
3. Lattice-Free Mmi Adaptation of Self-Supervised Pretrained Acoustic Models
4. Exploring wav2vec 2.0 on speaker verification and language identification;Fan,2020
5. Improved Language Identification Through Cross-Lingual Self-Supervised Learning
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