Tomás Arias-Vergara

Orcid: 0000-0001-9405-4154

According to our database1, Tomás Arias-Vergara authored at least 40 papers between 2015 and 2023.

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

Timeline

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Bibliography

2023
Impact of Including Pathological Speech in Pre-training on Pathology Detection.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 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
Analyse pathologischer Sprachsignale.
Ausgezeichnete Informatikdissertationen, 2022

Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing.
Speech Commun., 2022

The phonetic footprint of Parkinson's disease.
Comput. Speech Lang., 2022

50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders.
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022

Common Phone: A Multilingual Dataset for Robust Acoustic Modelling.
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 Interspeech 2022, 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

Robust Automatic Speech Recognition for Call Center Applications.
Proceedings of the Applied Computer Sciences in Engineering, 2021

Emotional State Modeling for the Assessment of Depression in Parkinson's Disease.
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 Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

The Phonetic Footprint of Covid-19?
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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

Surgical Mask Detection with Deep Recurrent Phonetic Models.
Proceedings of the Interspeech 2020, 2020

2019
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.
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


Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users.
Proceedings of the Interspeech 2019, 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

Phonological i-Vectors to Detect Parkinson's Disease.
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 Interspeech 2018, 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

Apkinson - A Mobile Monitoring Solution for Parkinson's Disease.
Proceedings of the Interspeech 2017, 2017

2016
Parkinson's Disease Progression Assessment from Speech Using GMM-UBM.
Proceedings of the Interspeech 2016, 2016

Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016

Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech.
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 INTERSPEECH 2015, 2015


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