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Found 6 papers, 0 papers with code
The USTC-NERCSLIP Systems for the CHiME-7 DASR Challenge
This technical report details our submission system to the CHiME-7 DASR Challenge, which focuses on speaker diarization and speech recognition under complex multi-speaker scenarios.
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
In this paper, we propose an adaptive two-stage knowledge distillation method consisting of hidden layer learning and output layer learning.
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information
Multilingual end-to-end models have shown great improvement over monolingual systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Speech pre-training has shown great success in learning useful and general latent representations from large-scale unlabeled data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition
Self-supervised learning (SSL) models have achieved considerable improvements in automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Self-Supervised Audio-Visual Speech Representations Learning By Multimodal Self-Distillation
AV2vec has a student and a teacher module, in which the student performs a masked latent feature regression task using the multimodal target features generated online by the teacher.
