Toward Accurate and Efficient Feature Selection for Speaker Recognition on Wearables
Author:
Affiliation:
1. Dartmouth College, Hanover, NH, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3089351.3089352
Reference20 articles.
1. Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables
2. A Tutorial on Text-Independent Speaker Verification
3. Using time use with mobile sensor data
4. A survey on feature selection methods
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1. PA2BLO: Low-Power, Personalized Audio Badge;2024 IEEE International Conference on Pervasive Computing and Communications (PerCom);2024-03-11
2. Lightweight and Non-Invasive User Authentication on Earables;Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications;2023-02-22
3. ODSearch;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-12-21
4. Using a small amount of text-independent speech data for a BiLSTM large-scale speaker identification approach;Journal of King Saud University - Computer and Information Sciences;2020-04
5. Vocal Resonance;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2018-03-26
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