Voice Feature Selection to Improve Performance of Machine Learning Models for Voice Production Inversion
Author:
Funder
NIH
Publisher
Elsevier BV
Subject
LPN and LVN,Speech and Hearing,Otorhinolaryngology
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1. Deep Learning for Neuromuscular Control of Vocal Source for Voice Production;Applied Sciences;2024-01-16
2. Overview on state-of-the-art numerical modeling of the phonation process;Acta Acustica;2023
3. Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices;Journal of Voice;2022-12
4. An Improved Glottal Flow Model Based on Seq2Seq LSTM for Simulation of Vocal Fold Vibration;Journal of Voice;2022-05
5. “A Voice that Suits the Situation”: Understanding the Needs and Challenges for Supporting End-User Voice Customization;CHI Conference on Human Factors in Computing Systems;2022-04-27
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