Glottal features for classification of phonation type from speech and neck surface accelerometer signals
Author:
Funder
Suomen Akatemia
Publisher
Elsevier BV
Subject
Human-Computer Interaction,Theoretical Computer Science,Software
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1. Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals;Computer Speech & Language;2024-01
2. Analysis of Instantaneous Frequency Components of Speech Signals for Epoch Extraction;Computer Speech & Language;2023-03
3. Mapping Phonation Types by Clustering of Multiple Metrics;Applied Sciences;2022-11-25
4. Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals;Interspeech 2022;2022-09-18
5. The Effect of the MFCC Frame Length in Automatic Voice Pathology Detection;Journal of Voice;2022-04
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