Yamini Belur

Affiliations:
  • National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India


According to our database1, Yamini Belur authored at least 16 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Low Complexity Model with Single Dimensional Feature for Speech Based Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Individuals.
Proceedings of the International Conference on Signal Processing and Communications, 2024

Spectral Analysis of Vowels and Fricatives at Varied Levels of Dysarthria Severity for Amyotrophic Lateral Sclerosis.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Classification of Multi-class Vowels and Fricatives From Patients Having Amyotrophic Lateral Sclerosis with Varied Levels of Dysarthria Severity.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Transfer Learning to Aid Dysarthria Severity Classification for Patients with Amyotrophic Lateral Sclerosis.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Static and Dynamic Source and Filter Cues for Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Subjects.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring the Role of Fricatives in Classifying Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis and Parkinson's Disease.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
Source and Vocal Tract Cues for Speech-Based Classification of Patients with Parkinson's Disease and Healthy Subjects.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Acoustic-to-Articulatory Inversion for Dysarthric Speech by Using Cross-Corpus Acoustic-Articulatory Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Effect of Noise and Model Complexity on Detection of Amyotrophic Lateral Sclerosis and Parkinson's Disease Using Pitch and MFCC.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Speech task based automatic classification of ALS and Parkinson's Disease and their severity using log Mel spectrograms.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Raw Speech Waveform Based Classification of Patients with ALS, Parkinson's Disease and Healthy Controls Using CNN-BLSTM.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Voice based classification of patients with Amyotrophic Lateral Sclerosis, Parkinson's Disease and Healthy Controls with CNN-LSTM using transfer learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Comparison of Speech Tasks and Recording Devices for Voice Based Automatic Classification of Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Comparison of Speech Tasks for Automatic Classification of Patients with Amyotrophic Lateral Sclerosis and Healthy Subjects.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Classification of healthy subjects and patients with essential vocal tremor using empirical mode decomposition of high resolution pitch contour.
Proceedings of the Twenty-third National Conference on Communications, 2017

2014
Comparison of speech quality with and without sensors in electromagnetic articulograph AG 501 recording.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014


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