Tomás Arias-Vergara
Orcid: 0000-0001-9405-4154
According to our database1,
Tomás Arias-Vergara
authored at least 46 papers
between 2015 and 2024.
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Bibliography
2024
SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology.
CoRR, 2024
2023
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing.
Speech Commun., 2022
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
2021
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages.
Pattern Recognit. Lett., 2021
Multi-channel spectrograms for speech processing applications using deep learning methods.
Pattern Anal. Appl., 2021
Proceedings of the Applied Computer Sciences in Engineering, 2021
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021
Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data.
Proceedings of the IEEE International Conference on Acoustics, 2021
Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate.
Speech Commun., 2020
Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units.
Digit. Signal Process., 2020
Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson's Patients.
Proceedings of the Text, Speech, and Dialogue, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users.
Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2018
Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions.
Speech Commun., 2018
A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease.
Proceedings of the Applied Computer Sciences in Engineering, 2018
Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises.
Proceedings of the Applied Computer Sciences in Engineering, 2018
Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech.
Cogn. Comput., 2017
Speaker Model to Monitor the Neurological State and the Dysarthria Level of Patients with Parkinson's Disease.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017
Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
2016
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016
Proceedings of the 12th ITG Symposium on Speech Communication, 2016
2015
Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015