Ultrasound-Based Silent Speech Interface using Sequential Convolutional Auto-encoder
Author:
Affiliation:
1. National Key Laboratory of Parallel and Distributed Processing, National University of Defense Technology, Changsha, China
2. School of Computer, National University of Defense Technology, Changsha, China
3. Peking University, Beijing, China
Funder
National Key Research and Development Program
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3343031.3350596
Reference7 articles.
1. Recognition and real time performances of a lightweight ultrasound based silent speech interface employing a language model
2. Silent speech interfaces
3. Development of a silent speech interface driven by ultrasound and optical images of the tongue and lips
4. Updating the Silent Speech Challenge benchmark with deep learning
5. Denoising Convolutional Autoencoder Based B-mode Ultrasound Tongue Image Feature Extraction
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1. HPSpeech: Silent Speech Interface for Commodity Headphones;Proceedings of the 2023 International Symposium on Wearable Computers;2023-10-08
2. Raw Ultrasound-Based Phonetic Segments Classification Via Mask Modeling;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
3. EchoSpeech: Continuous Silent Speech Recognition on Minimally-obtrusive Eyewear Powered by Acoustic Sensing;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
4. DUMask: A Discrete and Unobtrusive Mask-Based Interface for Facial Gestures;Augmented Humans Conference;2023-03-12
5. Exploring Silent Speech Interfaces Based on Frequency-Modulated Continuous-Wave Radar;Sensors;2022-01-14
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