Audio-Visual Wake Word Spotting System for MISP Challenge 2021
Author:
Affiliation:
1. Beike,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746762.pdf?arnumber=9746762
Reference22 articles.
1. VisualVoice: Audio-Visual Speech Separation with Cross-Modal Consistency
2. Deep Audio-Visual Speech Separation Based on Facial Motion
3. Switching Variational Auto-Encoders for Noise-Agnostic Audio-Visual Speech Enhancement
4. FaceNet: A unified embedding for face recognition and clustering
5. Towards Practical Lipreading with Distilled and Efficient Models
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1. Combining Weight Approximation, Sharing and Retraining for Neural Network Model Compression;ACM Transactions on Embedded Computing Systems;2024-09-11
2. The Whu Wake Word Lipreading System for the 2024 Chat-Scenario Chinese Lipreading Challenge;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15
3. Robust Wake Word Spotting With Frame-Level Cross-Modal Attention Based Audio-Visual Conformer;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Small Footprint Multi-channel Network for Keyword Spotting with Centroid Based Awareness;INTERSPEECH 2023;2023-08-20
5. VE-KWS: Visual Modality Enhanced End-to-End Keyword Spotting;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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