Analysis and Classification of Electroglottography Signals for the Detection of Speech Disorders
Author:
Affiliation:
1. Indian Institute of Technology,Department of Electrical Engineering,Patna,India
Funder
Indian Council of Medical Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10067865/10067872/10067972.pdf?arnumber=10067972
Reference27 articles.
1. PEAKS – A system for the automatic evaluation of voice and speech disorders
2. Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients
3. Resonator-based creaky voice detection
4. Use of temporal information: detection of periodicity, aperiodicity, and pitch in speech
5. Estimation of Glottal Closing and Opening Instants in Voiced Speech Using the YAGA Algorithm
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1. Electroglottography in Medical Diagnostics of Vocal Tract Pathologies: A Systematic Review;Journal of Voice;2023-12
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