Biometric Classification of Frequency Following Responses to English Vowels
Author:
Affiliation:
1. University of Ottawa,School of Electrical Engineering and Computer Science,Ottawa,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806445/9806446/09806555.pdf?arnumber=9806555
Reference24 articles.
1. Biometric identification of listener identity from frequency following responses to speech
2. Human Frequency-Following Responses to Two-Tone Approximations of Steady-State Vowels
3. Recording Human Evoked Potentials That Follow the Pitch Contour of a Natural Vowel
4. Brainstem Auditory Responses to Resolved and Unresolved Harmonics of a Synthetic Vowel in Quiet and Noise
5. Vowel decoding from single‐trial speech‐evoked electrophysiological responses: A feature‐based machine learning approach
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Categorization of Speech Frequency Following Responses to English Vowels;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24
2. Machine Learning Based Listener Classification and Authentication Using Frequency Following Responses to English Vowels for Biometric Applications;2023 IEEE Sensors Applications Symposium (SAS);2023-07-18
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