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Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition.

, , , , , and . ASRU, page 1-6. IEEE, (2023)

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Front-End Adapter: Adapting Front-End Input of Speech Based Self-Supervised Learning for Speech Recognition., , , , and . ICASSP, page 1-5. IEEE, (2023)Noniterative f -x-y Streaming Prediction Filtering for Random Noise Attenuation on Seismic Data., and . IEEE Trans. Geosci. Remote. Sens., (2022)Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition., , , and . INTERSPEECH, page 3307-3311. ISCA, (2023)MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets., , , , and . INTERSPEECH, page 82-86. ISCA, (2023)EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark., , , , , , , , and . CoRR, (2024)Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition., , , , , and . ASRU, page 1-6. IEEE, (2023)Fast-Hubert: an Efficient Training Framework for Self-Supervised Speech Representation Learning., , , , , and . ASRU, page 1-7. IEEE, (2023)Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation., , , , , and . INTERSPEECH, page 1269-1273. ISCA, (2023)Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition., , , , , and . CoRR, (2022)