The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction
Author:
Affiliation:
1. University of Science and Technology of China,China
2. Georgia Institute of Technology,USA
3. Northwestern Polytechnical University,China
4. Delft University of Technology,The Netherlands
5. Carnegie Mellon University,USA
6. IFlytek,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447462.pdf?arnumber=10447462
Reference26 articles.
1. Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
2. A Conformer-Based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation
3. The cocktail-party problem revisited: early processing and selection of multi-talker speech
4. Neural Target Speech Extraction: An overview
5. Single Channel Target Speaker Extraction and Recognition with Speaker Beam
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4. SIR-Progressive Audio-Visual TF-Gridnet with ASR-Aware Selector for Target Speaker Extraction in MISP 2023 Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14
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