A Sidecar Separator Can Convert A Single-Talker Speech Recognition System to A Multi-Talker One
Author:
Affiliation:
1. The Chinese University of Hong Kong,Hong Kong SAR,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095295.pdf?arnumber=10095295
Reference31 articles.
1. Understanding the role of self attention for efficient speech recognition;shim;International Conference on Learning Representations,2022
2. Streaming Multi-Talker ASR with Token-Level Serialized Output Training
3. Layer-Wise Analysis of a Self-Supervised Speech Representation Model
4. wav2vec 2.0: A framework for self-supervised learning of speech representations;baevski,2020
5. End-to-End Speaker-Attributed ASR with Transformer
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1. Speaker-Attributed Training for Multi-Speaker Speech Recognition Using Multi-Stage Encoders and Attention-Weighted Speaker Embedding;Applied Sciences;2024-09-10
2. Target Speech Extraction with Pre-trained AV-HuBERT and Mask-And-Recover Strategy;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. Extending Whisper with Prompt Tuning to Target-Speaker ASR;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Synthetic Conversations Improve Multi-Talker ASR;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
5. Cross-Speaker Encoding Network for Multi-Talker Speech Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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