VE-KWS: Visual Modality Enhanced End-to-End Keyword Spotting
Author:
Affiliation:
1. Northwestern Polytechnical University,Audio, Speech and Language Processing Group (ASLP@NPU), School of Computer Science,Xi’an,China
2. China Mobile Research Institute,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096858.pdf?arnumber=10096858
Reference26 articles.
1. You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation
2. Small-footprint keyword spotting using deep neural networks
3. Wake Word Detection with Streaming Transformers
4. Mining Effective Negative Training Samples for Keyword Spotting
5. Hotword Cleaner: Dual-microphone Adaptive Noise Cancellation with Deferred Filter Coefficients for Robust Keyword Spotting
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