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07/06/2023
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation
Large self-supervised models are effective feature extractors, but their...
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04/25/2022
Supervised Attention in Sequence-to-Sequence Models for Speech Recognition
Attention mechanism in sequence-to-sequence models is designed to model ...
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10/29/2020
Self-supervised Pre-training Reduces Label Permutation Instability of Speech Separation
Speech separation has been well-developed while there are still problems...
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10/28/2019
Interrupted and cascaded permutation invariant training for speech separation
Permutation Invariant Training (PIT) has long been a stepping stone meth...
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04/16/2019
