MELDER: The Design and Evaluation of a Real-time Silent Speech Recognizer for Mobile Devices
Author:
Affiliation:
1. Inclusive Interaction Lab, University of California, Merced, United States
Funder
NSF (National Science Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3613904.3642348
Reference121 articles.
1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mane Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viegas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2016. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. https://doi.org/10.48550/arXiv.1603.04467 arXiv:1603.04467 [cs].
2. Deep Audio-visual Speech Recognition
3. Triantafyllos Afouras Joon Son Chung and Andrew Zisserman. 2018. Deep Lip Reading: A Comparison of Models and an Online Application. https://doi.org/10.48550/arXiv.1806.06053 arXiv:1806.06053 [cs].
4. Triantafyllos Afouras Joon Son Chung and Andrew Zisserman. 2018. LRS3-TED: A Large-Scale Dataset for Visual Speech Recognition. https://doi.org/10.48550/arXiv.1809.00496 arXiv:1809.00496 [cs].
5. Abien Fred Agarap. 2019. Deep Learning using Rectified Linear Units (ReLU). https://doi.org/10.48550/arXiv.1803.08375 arXiv:1803.08375 [cs stat].
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