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Task-Agnostic Structured Pruning of Speech Representation Models
Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM have been shown to significantly improve many speech tasks.
Multilingual Zero Resource Speech Recognition Base on Self-Supervise Pre-Trained Acoustic Models
Labeled audio data is insufficient to build satisfying speech recognition systems for most of the languages in the world.
Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios
The common target speech separation directly estimate the target source, ignoring the interrelationship between different speakers at each frame.
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