Training Network on Automatic Processing of PAthological Speech

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Training reports M24 (D4.3)
Training reports M36 (D4.3)

Training reports M36 D43

Training reports M48 (D4.3)

Training reports M48 D43

Training reports M12 (D4.3)

Network wide training and TAPAS workshop M21 (D4.1)
Network wide training and TAPAS workshop M27 (D4.1)
Dissemination and public engagement (D5.2)
Network wide training and TAPAS workshop M15 (D4.1)
Network wide training and TAPAS workshop M45 (D4.1)
Network wide training and TAPAS workshop M9 (D4.1)
Network wide training and TAPAS workshop M33 (D4.1)

Network wide training and TAPAS workshop M33 D41

Network wide training and TAPAS workshop M39 (D4.1)

Network wide training and TAPAS workshop M39 D41

Website launch (D6.1)

Pubblicazioni

Pathological voice adaptation with autoencoder-based voice conversion

Autori: Marc Illa; Bence Mark Halpern; Rob J.J.H. van Son; Laureano Moro-Velázquez; Odette Scharenborg
Pubblicato in: TITLE=Proceedings of the 11th ISCA Speech Synthesis Workshop (SSW 11), Numero 3, 2021
Editore: Proc. 11th ISCA Speech Synthesis Workshop (SSW 11)
DOI: 10.21437/ssw.2021-4

Residual networks for resisting noise: analysis of an embeddings-basedspoofing countermeasure

Autori: Bence Halpern; Finnian Kelly; Rob van Son; Anil Alexander
Pubblicato in: Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 2020
Editore: ISCA
DOI: 10.21437/odyssey.2020-46

Multilingual Transfer Learning for Children Automatic Speech Recognition

Autori: Rolland, Thomas; Abad, Alberto; Cucchiarini, Catia; Strik, Helmer
Pubblicato in: Proceedings of the Thirteenth Language Resources and Evaluation Conference (LREC 2022), 7314 - 7320, Numero 11, 2022
Editore: LREC 2022
DOI: 10.5281/zenodo.7185808

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition.

Autori: Zhengjun Yue; Heidi Christensen; Jon Barker
Pubblicato in: Crossref, Numero 2, 2020
Editore: Proc. Interspeech 2020
DOI: 10.21437/interspeech.2020-2746

Enhancing Transferability of Black-box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models

Autori: Zhao Ren; Jing Han; Nicholas Cummins; Björn Schuller
Pubblicato in: Proc. Interspeech 2020, Numero 5, 2020
Editore: ISCA
DOI: 10.21437/interspeech.2020-1869

Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models

Autori: Zhao Ren; Alice Baird; Jing Han; Zixing Zhang; Björn Schuller
Pubblicato in: ICASSP 2020, 2020
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9054087

Few-shot Dysarthric Speech Recognition with Text-to-Speech Data Augmentation

Autori: Hermann, Enno; Magimai.-Doss, Mathew
Pubblicato in: 2023
Editore: Interspeech, 2023
DOI: 10.5281/zenodo.8092573

Towards Identity Preserving Normal to Dysarthric Voice Conversion

Autori: Wen-Chin Huang; Bence Mark Halpern; Lester Philip Violeta; Odette Scharenborg; Tomoki Toda
Pubblicato in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Editore: IEEE
DOI: 10.1109/icassp43922.2022.9747550

Parental spoken scaffolding and narrative skills in crowd-sourced storytellingsamples of young children

Autori: Yue, Zhengjun; Barker, Jon; Christensen, Heidi
Pubblicato in: Interspeech 2021, 30 Aug - 03 Sep 2021, Brno, Czechia., 2021
Editore: ISCA
DOI: 10.21437/interspeech.2021-1297

The INESC-ID Multi-Modal System for the ADReSS 2020 Challenge

Autori: Anna Pompili; Thomas Rolland; Alberto Abad
Pubblicato in: Crossref, Numero 61, 2020
Editore: Interspeech 2020
DOI: 10.5281/zenodo.7434837

CoachLea an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss

Autori: Schäfer, Paula; Pérez-Toro, Paula Andrea; Klumpp, Philipp; Orozco-Arroyave, Juan Rafael; Nöth, Elmar; Maier, Andreas; Abad, Alberto; Schuster, Maria; Arias Vergara, Tomás
Pubblicato in: Proc. Interspeech 2022, Numero 5, 2022
Editore: ISCA
DOI: 10.5281/zenodo.7438886

Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images

Autori: Fabio Hellmann; Zhao Ren; Elisabeth André; Björn W. Schuller
Pubblicato in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Editore: IEEE
DOI: 10.1109/embc46164.2021.9631021

Handling Acoustic Variation in Dysarthric Speech Recognition Systems Through Model Combination

Autori: Hermann, Enno; Magimai.-Doss, Mathew
Pubblicato in: Interspeech 2021, 2021
Editore: ISCA
DOI: 10.21437/interspeech.2021-2212

Raw source and filter modelling for dysarthric speech recognition

Autori: Yue, Zhengjun; Loweimi, Erfan; Cvetkovic, Zoran
Pubblicato in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022
Editore: IEEE
DOI: 10.1109/icassp43922.2022.9746553

Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition

Autori: Merlin Albes; Zhao Ren; Björn W. Schuller; Nicholas Cummins
Pubblicato in: Proc. Interspeech 2020, 2020
Editore: ISCA
DOI: 10.21437/interspeech.2020-2531

Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition

Autori: Zhengjun Yue; Feifei Xiong; Heidi Christensen; Jon Barker
Pubblicato in: ICASSP, Numero 11, 2020
Editore: ICASSP
DOI: 10.5281/zenodo.7180768

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

Autori: V��squez-Correa, J. C.; Arias-Vergara, T.; Rios-Urrego, C. D.; Schuster, M.; Rusz, J.; Orozco-Arroyave, J. R.; N��th, E.
Pubblicato in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019, Volume 11896, Numero 5, 2020, ISBN 978-3-030-33903-6
Editore: SpringerLink
DOI: 10.48550/arxiv.2002.04374

Multi-modal acoustic-articulatory feature fusion for dysarthric speech recognition

Autori: Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Heidi Christensen; Jon Barker
Pubblicato in: Crossref, Numero 5, 2022
Editore: ICASSP
DOI: 10.5281/zenodo.7180794

Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS

Autori: Julian Fritsch; S. Pavankumar Dubagunta; Mathew Magimai.-Doss
Pubblicato in: {ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 5, 2020
Editore: ICASSP
DOI: 10.1109/icassp40776.2020.9053351

End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data

Autori: Juan Camilo Vásquez-Correa; Tomas Arias-Vergara; Philipp Klumpp; Paula Andrea Pérez-Toro; Juan Rafael Orozco-Arroyave; Elmar Nöth
Pubblicato in: ICASSP, Numero 8, 2021
Editore: International conference on acoustics, speech, and signal processing (ICASSP), 6-9 June 2021
DOI: 10.5281/zenodo.4584755

Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19

Autori: Rubén Solera-Ureña; Catarina Botelho; Francisco Teixeira; Thomas Rolland; Alberto Abad; Isabel Trancoso
Pubblicato in: Proc. Interspeech 2021, 2021
Editore: ISCA
DOI: 10.21437/interspeech.2021-1702

Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis

Autori: Yi Chang; Zhao Ren; Björn W. Schuller
Pubblicato in: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Editore: IEEE
DOI: 10.1109/embc46164.2021.9629552

Multi-modal acoustic-articulatory feature fusion for dysarthric speech recognition

Autori: Yue, Zhengjun; Loweimi. Erfan; Cvetkovic, Zoran; Christensen, Heidi; Barker, Jon
Pubblicato in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 5, 2022
Editore: IEEE
DOI: 10.5281/zenodo.7180795

Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients

Autori: Vasquez-Correa, J. C.; Bocklet, T.; Orozco-Arroyave, J. R.; N��th, E.
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 5, 2020
Editore: ICASSP
DOI: 10.48550/arxiv.2002.05412

Attention-based Convolutional Neural Networks for Acoustic Scene Classification

Autori: Ren, Zhao; Kong, Qiuqiang; Qian, Kun; Mark Plumbley; Schuller, Björn
Pubblicato in: ResearcherID, Numero 21, 2018
Editore: DCASE Workshop 2018
DOI: 10.5281/zenodo.3661161

Autoencoder bottleneck features with multi-task optimisation for improved continuous dysarthric speech recognition

Autori: Yue, Zhengjun; Christensen, Heidi; Barker, Jon
Pubblicato in: Proceedings of Interspeech 2020. Interspeech 2020, 25-29 Oct 2020, Shanghai, China (Online), Numero 5, 2020
Editore: ISCA
DOI: 10.5281/zenodo.7180740

Towards a Comprehensive Assessment of Speech Intelligibility for Pathological Speech

Autori: Xue, Wei; Mendoza Ramos, Viviana; Harmsen, Wieke; Cucchiarini, Catia; van Hout, Roeland; Strik, Helmer
Pubblicato in: Proc. Interspeech 2020, 2020
Editore: ISCA
DOI: 10.21437/interspeech.2020-2693

Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition

Autori: Feifei Xiong; Jon Barker; Zhengjun Yue; Heidi Christensen
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numero 5, 2020
Editore: ICASSP
DOI: 10.5281/zenodo.7180779

A comparison of acoustic and linguistics methodologies for Alzheimer's dementia recognition

Autori: Nicholas Cummins; Yilin Pan; Zhao Ren; Julian Fritsch; Venkata Srikanth Nallanthighal; Heidi Christensen; Daniel Blackburn; Björn W. Schuller; Mathew Magimai.-Doss; Helmer Strik; Aki Härmä
Pubblicato in: Interspeech 2020, Proc. Interspeech 2020, 2020
Editore: ISCA
DOI: 10.21437/interspeech.2020-2635

An Objective Evaluation Framework for Pathological Speech Synthesis

Autori: Bence Halpern; Julian Fritsch; Enno Hermann; Rob van Son; Mathew Magimai.-Doss; Odette Scharenborg
Pubblicato in: Speech Communication; 14th ITG Conference, Numero 5, 2021, ISBN 978-3-8007-5627-8
Editore: VDE
DOI: 10.48550/arxiv.2107.00308

Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-based Alzheimer's Dementia Detection through Spontaneous Speech

Autori: Pan, Yilin; Mirheidari, Bahman; Harris, Jennifer M; Thompson, Jennifer C; Jones, Matthew; Snowden, Julie S; Blackburn, Daniel; Christensen, Heidi
Pubblicato in: Interspeech 2021, 2021
Editore: ISCA
DOI: 10.5281/zenodo.7127725

A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease

Autori: Juan Camilo Vásquez Correa, Tomas Arias, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Interspeech 2018, 2018, Pagina/e 456-460
Editore: ISCA
DOI: 10.21437/interspeech.2018-1988

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease

Autori: Nicanor Garcia, Juan Camilo Vásquez Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Interspeech 2018, 2018, Pagina/e 2349-2353
Editore: ISCA
DOI: 10.21437/interspeech.2018-2295

Phonological i-Vectors to Detect Parkinson’s Disease

Autori: N. Garcia-Ospina, T. Arias-Vergara, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, M. Cernak, E. Nöth
Pubblicato in: Text, Speech, and Dialogue - 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings, Numero 11107, 2018, Pagina/e 462-470, ISBN 978-3-030-00793-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00794-2_50

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks

Autori: Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn Schuller
Pubblicato in: ITG-Fb. 282: Speech Communication, Numero Konferenz: Speech Communication - 13. ITG-Fachtagung Sprachkommunikation 10.10.2018 - 12.10.2018 in Oldenburg, Deutschland, 2018, ISBN 978-3-8007-4767-2
Editore: VDE-Verlag
DOI: 10.5281/zenodo.7116767

Acoustic correlates of speech intelligibility: the usability of the eGeMAPS feature set for atypical speech

Autori: Wei Xue, Catia Cucchiarini, Roeland van Hout, Helmer Strik
Pubblicato in: SLaTE 2019: 8th ISCA Workshop on Speech and Language Technology in Education, 2019, Pagina/e 48-52
Editore: ISCA
DOI: 10.21437/slate.2019-9

Speech differences between CI users with pre- and postlingual onset of deafness detected by speech processing methods on voiceless to voice transitions

Autori: T Arias Vergara, S Gollwitzer, JR Orozco-Arroyave, JC Vasquez-Correa, E Nöth, C Högerle, M Schuster
Pubblicato in: Abstract- und Posterband – 90. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Digitalisierung in der HNO-Heilkunde, 2019
Editore: Georg Thieme Verlag KG
DOI: 10.1055/s-0039-1686328

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data

Autori: Philipp Klumpp, J.C. Vásquez-Correa, Tino Haderlein, Elmar Nöth
Pubblicato in: Interspeech 2019, 2019, Pagina/e 3068-3072
Editore: ISCA
DOI: 10.21437/interspeech.2019-2080

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

Autori: J.C. Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Interspeech 2019, 2019, Pagina/e 549-553
Editore: ISCA
DOI: 10.21437/interspeech.2019-1405

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Autori: Alice Rueda, J.C. Vásquez-Correa, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth
Pubblicato in: Interspeech 2019, 2019, Pagina/e 3048-3052
Editore: ISCA
DOI: 10.21437/interspeech.2019-2490

Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease

Autori: Philipp Klumpp, Thomas Janu, Tomás Arias-Vergara, J.C. Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Interspeech 2017, 2017, Pagina/e 1839-1843
Editore: ISCA
DOI: 10.21437/interspeech.2017-416

Natural Language Analysis to Detect Parkinson’s Disease

Autori: P. A. Pérez-Toro, J. C. Vásquez-Correa, M. Strauss, J. R. Orozco-Arroyave, E. Nöth
Pubblicato in: Text, Speech, and Dialogue - 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings, Numero 11697, 2019, Pagina/e 82-90, ISBN 978-3-030-27946-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27947-9_7

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages

Autori: Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Cristian D. Rios-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, Numero 11896, 2019, Pagina/e 697-706, ISBN 978-3-030-33903-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_66

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients

Autori: Juan Camilo Vásquez-Correa, Cristian D. Rios-Urrego, Alice Rueda, Juan Rafael Orozco-Arroyave, Sri Krishnan, Elmar Nöth
Pubblicato in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, Numero 11896, 2019, Pagina/e 688-696, ISBN 978-3-030-33903-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_65

Automatic Diagnosis of Alzheimer’s Disease Using Neural Network Language Models

Autori: Julian Fritsch, Sebastian Wankerl, Elmar Noth
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 5841-5845, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8682690

Automatic Hierarchical Attention Neural Network for Detecting AD

Autori: Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen
Pubblicato in: Interspeech 2019, 2019, Pagina/e 4105-4109
Editore: ISCA
DOI: 10.21437/interspeech.2019-1799

Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users

Autori: T. Arias-Vergara, J. R. Orozco-Arroyave, S. Gollwitzer, M. Schuster, E. Nöth
Pubblicato in: Text, Speech, and Dialogue - 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings, Numero 11697, 2019, Pagina/e 299-306, ISBN 978-3-030-27946-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-27947-9_25

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users

Autori: Tomas Arias-Vergara, Juan Camilo Vasquez-Correa, Sandra Gollwitzer, Juan Rafael Orozco-Arroyave, Maria Schuster, Elmar Nöth
Pubblicato in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, Numero 11896, 2019, Pagina/e 679-687, ISBN 978-3-030-33903-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_64

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users

Autori: T. Arias-Vergara, Juan Rafael Orozco-Arroyave, Milos Cernak, S. Gollwitzer, M. Schuster, Elmar Nöth
Pubblicato in: Interspeech 2019, 2019, Pagina/e 3108-3112
Editore: ISCA
DOI: 10.21437/interspeech.2019-2144

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality

Autori: Jing Han, Zixing Zhang, Zhao Ren, Bjorn Schuller
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 5861-5865, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8682773

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach

Autori: Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
Pubblicato in: Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019, 2019, Pagina/e 71-75, ISBN 9781-450372626
Editore: ACM Press
DOI: 10.1145/3364836.3364851

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

Autori: Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
Pubblicato in: Proceedings of the 9th International Conference on Digital Public Health - DPH2019, 2019, Pagina/e 79-83, ISBN 9781-450372084
Editore: ACM Press
DOI: 10.1145/3357729.3357743

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes

Autori: Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Bjorn W. Schuller
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 56-60, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8683434

Deep Sensing of Breathing Signal During Conversational Speech

Autori: Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik
Pubblicato in: Interspeech 2019, 2019, Pagina/e 4110-4114
Editore: ISCA
DOI: 10.21437/interspeech.2019-1796

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s Disease

Autori: Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth
Pubblicato in: Text, Speech, and Dialogue - 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings, Numero 11107, 2018, Pagina/e 453-461, ISBN 978-3-030-00793-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00794-2_49

Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices

Autori: T. Arias-Vergara, J.C. Vasquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noth
Pubblicato in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Pagina/e 6004-6008, ISBN 978-1-5386-4658-8
Editore: IEEE
DOI: 10.1109/icassp.2018.8462332

Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises

Autori: L. Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II, Numero 916, 2018, Pagina/e 223-230, ISBN 978-3-030-00352-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00353-1_20

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson’s Disease

Autori: Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth
Pubblicato in: Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II, Numero 916, 2018, Pagina/e 268-278, ISBN 978-3-030-00352-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-00353-1_24

Dysarthric Speech Recognition with Lattice-Free MMI

Autori: Enno Hermann, Mathew Magimai.-Doss
Pubblicato in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Pagina/e 6109-6113, ISBN 978-1-5090-6631-5
Editore: IEEE
DOI: 10.1109/icassp40776.2020.9053549

Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative related Disorder Classification

Autori: Yilin Pan; Bahman Mirheidari; Zehai Tu; Ronan O'Malley,; Traci Walker; Annalena Venneri; Markus Reuber; Daniel Blackburn; Heidi Christensen
Pubblicato in: Interspeech 2020, 2020
Editore: ISCA
DOI: 10.5281/zenodo.4555339

Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson’s Patients

Autori: Patricia Argüello-Vélez, Tomas Arias-Vergara, Marí-a Claudia González-Rátiva, Juan Rafael Orozco-Arroyave, Elmar Nöth & Maria Elke Schuster
Pubblicato in: Text, Speech, and Dialogue-TSD 2020, Brno, Czech Republic, 2020, ISBN 978-3-030-58322-4
Editore: Springer
DOI: 10.1007/978-3-030-58323-1_33

The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition

Autori: Luke Prananta; Bence Mark Halpern; Siyuan Feng; Odette Scharenborg
Pubblicato in: Interspeech 2022, 2022
Editore: ISCA
DOI: 10.21437/interspeech.2022-190

Detecting and Analysing Spontaneous Oral Cancer Speech in the Wild

Autori: Bence Mark Halpern; Bence Mark Halpern; Bence Mark Halpern; Rob J.J.H. van Son; Rob J.J.H. van Son; Michiel W. M. van den Brekel; Odette Scharenborg
Pubblicato in: VOLUME=21;STARTPAGE=4826;ENDPAGE=4830;ISSN=1990-9772;TITLE=Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Numero 5, 2020, ISSN 1990-9772
Editore: Interspeech
DOI: 10.21437/interspeech.2020-1598

Deep Wavelets for Heart Sound Classification

Autori: Kun Qian; Zhao Ren; Fengquan Dong; Wen-Hsing Lai; Björn W. Schuller; Yoshiharu Yamamoto
Pubblicato in: 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019
Editore: IEEE
DOI: 10.1109/ispacs48206.2019.8986277

Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs

Autori: Zhengjun Yue, Erfan Loweimi, Heidi Christensen, Jon Barker, Zoran Cvetkovic
Pubblicato in: Proceedings of Interspeech 2022, 2022
Editore: ISCA
DOI: 10.21437/interspeech.2022-163

Improving detection of Alzheimer's Disease using automatic speech recognition to identify high-quality segments for more robust feature extraction

Autori: Pan, Yilin; Mirheidari, Bahman; Reuber, Markus; Venneri, Annalena; Blackburn, Daniel; Christensen, Heidi
Pubblicato in: Proc. Interspeech 2020, 2020
Editore: ISCA
DOI: 10.21437/interspeech.2020-2698

Emotional State Modeling for the Assessment of Depression in Parkinson's Disease

Autori: Pérez-Toro, Paula Andrea; Vásquez-Correa, Juan Camilo; Arias-Vergara, Tomás; Klumpp, Philipp; Schuster, Maria; Nöth, Elmar; Orozco-Arroyave, Juan Rafael
Pubblicato in: Book cover Book cover International Conference on Text, Speech, and Dialogue, Numero TSD 2021, 2021, Pagina/e pp. 457-468
Editore: Springer Nature
DOI: 10.1007/978-3-030-83527-9_39

50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders

Autori: Pérez-Toro, Paula Andrea; Klumpp, Philipp; Vásquez-Correa, Juan Camilo; Schuster, Maria; Nöth, Elmar; Orozco-Arroyave, Juan Rafael; Arias-Vergara, Tomás
Pubblicato in: 2022, ISBN 978-3-031-16270-1
Editore: Springer
DOI: 10.1007/978-3-031-16270-1_29

Source domain data selection for improved transfer learning targeting dysarthric speech recognition

Autori: Xiong, Feifei; Baker, Jon; Yue, Zhengjun; Christensen, Heidi
Pubblicato in: Numero 2, 2020
Editore: ICASSP 2020
DOI: 10.5281/zenodo.7180780

"Oral cancer speech corpus for the paper ""Objective speech outcomes after surgical treatment for oral cancer: An acoustic analysis of a spontaneous speech corpus containing 32.850 tokens"""

Autori: Thomas B. Tienkamp; Rob J. J. H. van Son; Bence Mark Halpern
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6401713

robvanson/TAPAS-TE3-Course-Labeling-Audio: TAPAS TE3, Sept 4-6, 2019, Toulouse

Autori: Rob van Son
Pubblicato in: 2019
Editore: Zenodo
DOI: 10.5281/zenodo.3378750

karkirowle/oral_cancer_analysis: Analysis backends for oral cancer paper

Autori: Bence Halpern
Pubblicato in: 2020
Editore: Zenodo
DOI: 10.5281/zenodo.3733148

Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt.

Autori: Mirheidari, B.; Pan, Y.; Walker, T.; Reuber, M.; Venneri, A.; Blackburn, D.; Christensen, H.
Pubblicato in: arXiv, Numero 1, 2019
Editore: arXiv
DOI: 10.48550/arxiv.1910.00515

The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge

Autori: Ren, Zhao; Chang, Yi; Schuller, Björn W.
Pubblicato in: Numero 4, 2021
Editore: arXiv
DOI: 10.48550/arxiv.2108.03041

Pathological speech detection using x-vector embeddings

Autori: Botelho, Catarina; Teixeira, Francisco; Rolland, Thomas; Abad, Alberto; Trancoso, Isabel
Pubblicato in: Numero 32, 2020
Editore: Zenodo
DOI: 10.5281/zenodo.7434844

karkirowle/relative_phoneme_analysis: First release

Autori: Bence Halpern
Pubblicato in: 2021
Editore: Zenodo
DOI: 10.5281/zenodo.4679551

CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss

Autori: Paula Schäfer; Paula Andrea Pérez-Toro; Philipp Klumpp; Juan Rafael Orozco-Arroyave; Elmar Nöth; Andreas Maier; Alberto Abad; Maria Schuster; Tomás Arias-Vergara
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.5281/zenodo.6461551

"Oral cancer speech corpus for paper ""Detecting and analysing spontaneous oral cancer speech in the wild""This is the oral cancer speech corpus used in the paper ""Detecting and analysing spontaneous oral cancer speech in the wild""."

Autori: Bence Mark Halpern; Rob van Son; Michiel van den Brekel; Odette Scharenborg
Pubblicato in: 2020
Editore: Zenodo
DOI: 10.5281/zenodo.6308119

robvanson/Notes-On-Corpus-Construction: TAPAS TE3, Sept 4-6, 2019, Toulouse

Autori: Rob van Son
Pubblicato in: Version updated for TAPAS TE3, Sept 4-6, 2019, Toulouse, 2019
Editore: Rob van Son
DOI: 10.5281/zenodo.3378732

Effects of acoustic characteristics on dysarthric speech intelligibility

Autori: Wei Xue; Cucchiarini, Catia; Van Hout, Roeland; Strik, Helmer
Pubblicato in: 2019
Editore: Zenodo
DOI: 10.5281/zenodo.4056365

jcvasquezc/AEspeech: AEspeech

Autori: J. C. Vasquez-Correa
Pubblicato in: 2020
Editore: Zenodo
DOI: 10.5281/zenodo.3822112

Quantifying Bias in Automatic Speech Recognition

Autori: Feng, Siyuan; Kudina, Olya; Halpern, Bence Mark; Scharenborg, Odette
Pubblicato in: Numero 3, 2021
Editore: arXiv
DOI: 10.48550/arxiv.2103.15122

Manipulation of oral cancer speech using neural articulatory synthesis

Autori: Halpern, Bence Mark; Rebernik, Teja; Tienkamp, Thomas; van Son, Rob; Brekel, Michiel van den; Wieling, Martijn; Witjes, Max; Scharenborg, Odette
Pubblicato in: arXiv preprint arXiv:2203.17072, Numero 5, 2022
Editore: arXiv
DOI: 10.48550/arxiv.2203.17072

Data augmentation using generative networks to identify dementia

Autori: Mirheidari, B.; Pan, Y.; Blackburn, D.; O'Malley, R.; Walker, T.; Venneri, A.; Reuber, M.; Christensen, H.
Pubblicato in: arXiv, Numero 5, 2020
Editore: arXiv
DOI: 10.48550/arxiv.2004.05989

idiap/torgo_asr: Torgo ASR 1.0.0

Autori: Enno Hermann and Magimai.-Doss, Mathew
Pubblicato in: 2020
Editore: Zenodo
DOI: 10.5281/zenodo.4073246

Cepstral Analysis and Hilbert-Huang Transform for Automatic Detection of Parkinson's Disease

Autori: López-Pabón, Felipe Orlando; Arias-Vergara, Tomás; Orozco-Arroyave, Juan Rafael
Pubblicato in: TecnoLógicas, vol. 23, no. 47, 2020, ISSN 2256-5337
Editore: Instituto Tecnológico Metropolitano
DOI: 10.22430/22565337.1401

The phonetic footprint of Parkinson's disease

Autori: Klumpp, Philipp; Arias-Vergara, Tomas; Vasquez-Correa, Juan Camilo; Andrea, Paula; Perez-Toro; Orozco-Arroyave, Juan Rafael; Batliner, Anton; Noth, Elmar
Pubblicato in: Computer Speech & Language, Numero 5, 2021, ISSN 0885-2308
Editore: Academic Press
DOI: 10.5281/zenodo.6610264

Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease

Autori: Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Juan Camilo Vásquez-Correa; Tomas Arias-Vergara; Tomas Arias-Vergara; Tomas Arias-Vergara; Elmar Nöth; Juan Rafael Orozco-Arroyave; Juan Rafael Orozco-Arroyave
Pubblicato in: Nonlinear Dynamics, Numero 5, 2020, Pagina/e 3253-3276, ISSN 0924-090X
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11071-020-05691-7

Criteria for creating new standard reading passages for the assessment of speech and voice: A Delphi consensus study

Autori: Timothy Pommée, Mathieu Balaguer, Julie Mauclair, Julien Pinquier, Virginie Woisard
Pubblicato in: Clinical Linguistics & Phonetics, 2022, ISSN 0269-9206
Editore: Taylor & Francis
DOI: 10.1080/02699206.2022.2080589

Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach.

Autori: Adolfo M. García; Tomas Arias-Vergara; Tomas Arias-Vergara; Tomas Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Camilo Vásquez-Correa; Elmar Nöth; Maria Schuster; Ariane E. Welch; Yamile Bocanegra; Ana Baena; Juan Rafael Orozco-Arroyave; Juan Rafael Orozco-Arroyave
Pubblicato in: Movement Disorders, Numero 2, 2021, ISSN 0885-3185
Editore: John Wiley & Sons Inc.
DOI: 10.1002/mds.28751

CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification

Autori: Zhao Ren; Qiuqiang Kong; Jing Han; Mark D. Plumbley; Björn Schuller
Pubblicato in: IEEE Transactions on Multimedia, Numero 27, 2021, Pagina/e 4131--4142, ISSN 1520-9210
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmm.2020.3037534

Acoustic Identification of Sentence Accent in Speakers with Dysarthria: Cross-Population Validation and Severity Related Patterns

Autori: Viviana Mendoza Ramos; Anja Lowit; Leen Van den Steen; Hector Arturo Kairuz Hernandez-Diaz; Maria Esperanza Hernandez-Diaz Huici; Marc De Bodt; Gwen Van Nuffelen
Pubblicato in: Brain Sciences, 2021, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11101344

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings

Autori: Jing Han; Zixing Zhang; Zhao Ren; Björn Schuller
Pubblicato in: IEEE Transactions on Affective Computing, Numero 2, 2021, ISSN 1949-3045
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.1907.10428

User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care

Autori: Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Tobias Bocklet; Elmar Nöth; Juan Rafael Orozco-Arroyave
Pubblicato in: IEEE Transactions on Affective Computing, Numero 5, 2021, ISSN 1949-3045
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/taffc.2021.3112543

Assessing speech intelligibility of pathological speech in sentences and word lists: The contribution of phoneme-level measures

Autori: Wei Xue; Roeland van Hout; Catia Cucchiarini; Helmer Strik
Pubblicato in: Journal of Communication Disorders, Numero 5, 2023, ISSN 1873-7994
Editore: Elsevier
DOI: 10.1016/j.jcomdis.2023.106301

Low-resource automatic speech recognition and error analyses of oral cancer speech

Autori: Bence Halpern; Siyuan Feng; Rob van Son; Michiel van den Brekel; Odette Scharenborg
Pubblicato in: Speech Communication, 2022, ISSN 0167-6393
Editore: Elsevier BV
DOI: 10.1016/j.specom.2022.04.006

Relationship between phoneme-level spectral acoustics and speech intelligibility in healthy speech: a systematic review

Autori: Timothy Pommée; Mathieu Balaguer; Julien Pinquier; Julie Mauclair; Virginie Woisard; Renée Speyer
Pubblicato in: "Journal of Speech, Language, and Hearing Research, 2021, In a new world of research, what do we already know? Systematic and scoping reviews in Speech, Language and Hearing, 24 (2), pp.105 - 132. ⟨10.1080/2050571x.2021.1913300⟩", Numero 5, 2021, ISSN 1092-4388
Editore: American Speech-Language-Hearing Association
DOI: 10.1080/2050571x.2021.1913300

Acoustic Modelling from Raw Source and Filter Components for Dysarthric Speech Recognition

Autori: Yue, Zhengjun; Loweimi, Erfan; Christensen, Heidi; Barker, Jon; Cvetkovic
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/taslp.2022.3205766

CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds

Autori: Yi Chang; Xin Jing; Zhao Ren; Björn W. Schuller
Pubblicato in: Frontiers in Digital Health, 2022, ISSN 2673-253X
Editore: Lausanne: Frontiers Media SA, [2019]-
DOI: 10.3389/fdgth.2021.799067

The phonetic footprint of Parkinson's disease

Autori: Philipp Klumpp; Tomas Arias-Vergara; Juan Camilo Vasquez-Correa; Paula Andrea; Perez-Toro; Juan Rafael Orozco-Arroyave; Anton Batliner; Elmar Noth
Pubblicato in: Computer Speech & Language, Numero 31, 2022, ISSN 0885-2308
Editore: Academic Press
DOI: 10.1016/j.csl.2021.101321

Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech

Autori: Benjamin Sertolli; Zhao Ren; Björn W. Schuller; Nicholas Cummins
Pubblicato in: Computer Speech & Language, 2021, ISSN 0885-2308
Editore: Academic Press
DOI: 10.1016/j.csl.2021.101204

Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement.

Autori: Juan Rafael Orozco-Arroyave; Juan Camilo Vasquez-Correa; Philipp Klumpp; Paula Andrea Pérez-Toro; Daniel Escobar-Grisales; Nils Roth; Cristian David Ríos-Urrego; Martin Strauss; Helber Andrés Carvajal-Castaño; Sebastian Bayerl; Luis Reinel Castrillón-Osorio; Tomas Arias-Vergara; Arne Künderle; Felipe Orlando López-Pabón; Luis Felipe Parra-Gallego; Björn Eskofier; Luis Felipe Gómez-Gómez
Pubblicato in: Neurodegenerative Disease Management, Numero 5, 2020, ISSN 1758-2024
Editore: Future Medicine Ltd.
DOI: 10.2217/nmt-2019-0037

Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition

Autori: Zhao Ren; Yi Chang; Wolfgang Nejdl; Björn W. Schuller
Pubblicato in: Acta Acustica, 2022, ISSN 2681-4617
Editore: Acta Acustica
DOI: 10.1051/aacus/2022029

Measuring the intelligibility of dysarthric speech through automatic speech recognition in a pluricentric language

Autori: Wei Xue; Catia Cucchiarini; Roeland van Hout; Helmer Strik
Pubblicato in: Speech Communication, Numero 5, 2023, ISSN 0167-6393
Editore: Elsevier BV
DOI: 10.1016/j.specom.2023.02.004

Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features

Autori: Julian Fritsch; Mathew Magimai-Doss
Pubblicato in: IEEE Signal Processing Letters, Numero 5, 2021, ISSN 1558-2361
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/lsp.2021.3050362

Automatic boost articulation therapy in adults with dysarthria: Acceptability, usability and user interaction

Autori: Viviana Mendoza Ramos; Juan C. Vasquez-Correa; Rani Cremers; Leen Van Den Steen; Elmar Nöth; Marc De Bodt; Gwen Van Nuffelen
Pubblicato in: International Journal of Language & Communication Disorders, 2021, ISSN 1368-2822
Editore: Taylor & Francis
DOI: 10.1111/1460-6984.12647

The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection

Autori: Zhao Ren; Yi Chang; Katrin D. Bartl-Pokorny; Florian B. Pokorny; Björn W. Schuller
Pubblicato in: Journal of Voice, 2022, ISSN 0892-1997
Editore: Mosby Inc.
DOI: 10.1016/j.jvoice.2022.06.011

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus

Autori: Fengquan Dong; Kun Qian; Zhao Ren; Alice Baird; Xinjian Li; Zhenyu Dai; Bo Dong; Florian Metze; Yoshiharu Yamamoto; Björn W. Schuller
Pubblicato in: Journal of Biomedical and Health Informatics, 2019, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jbhi.2019.2955281

Assessment of adult speech disorders: current situation and needs in French-speaking clinical practice

Autori: Pommée Timothy; Balaguer Mathieu; Mauclair Julie; Pinquier Julien; Woisard Virginie
Pubblicato in: Logopedics Phoniatrics Vocology, 2021, ISSN 1401-5439
Editore: Taylor & Francis
DOI: 10.1080/14015439.2020.1870245

Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening

Autori: Jing Han; Zixing Zhang; Zhao Ren; Björn Schuller
Pubblicato in: Cognitive Computation, 2020, ISSN 1866-9956
Editore: Springer Verlag
DOI: 10.1007/s12559-019-09694-4

GALP Qualifier Scale: Initial Considerations to Classify a Voice Problem

Autori: Marina Englert; Viviana Mendoza; Mara Behlau; Marc De Bodt
Pubblicato in: Folia Phoniatr Logop, 2019, ISSN 1021-7762
Editore: S. Karger AG
DOI: 10.1159/000502772

Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Autori: C.D. Rios-Urrego, J.C. Vásquez-Correa, J.F. Vargas-Bonilla, E. Nöth, F. Lopera, J.R. Orozco-Arroyave
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 173, 2019, Pagina/e 43-52, ISSN 0169-2607
Editore: Elsevier BV
DOI: 10.1016/j.cmpb.2019.03.005

Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions

Autori: T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, E. Nöth
Pubblicato in: Speech Communication, Numero 101, 2018, Pagina/e 11-25, ISSN 0167-6393
Editore: Elsevier BV
DOI: 10.1016/j.specom.2018.05.007

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease

Autori: J.C. Vásquez-Correa, J.R. Orozco-Arroyave, T. Bocklet, E. Nöth
Pubblicato in: Journal of Communication Disorders, Numero 76, 2018, Pagina/e 21-36, ISSN 0021-9924
Editore: Elsevier BV
DOI: 10.1016/j.jcomdis.2018.08.002

Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

Autori: Mathieu Balaguer, Timothy Pommée, Jérôme Farinas, Julien Pinquier, Virginie Woisard, Renée Speyer
Pubblicato in: Head & Neck, Numero 42/1, 2019, Pagina/e 111-130, ISSN 1043-3074
Editore: John Wiley & Sons Inc.
DOI: 10.1002/hed.25949

Acoustic features to characterize sentence accent production in dysarthric speech

Autori: Viviana Mendoza Ramos, Hector A. Kairuz Hernandez-Diaz, Maria E. Hernandez-Diaz Huici, Heidi Martens, Gwen Van Nuffelen, Marc De Bodt
Pubblicato in: Biomedical Signal Processing and Control, Numero 57, 2020, Pagina/e 101750, ISSN 1746-8094
Editore: Elsevier BV
DOI: 10.1016/j.bspc.2019.101750

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

Autori: Juan Camilo Vasquez-Correa, Tomas Arias-Vergara, J. R. Orozco-Arroyave, Bjorn Eskofier, Jochen Klucken, Elmar Noth
Pubblicato in: IEEE Journal of Biomedical and Health Informatics, Numero 23/4, 2019, Pagina/e 1618-1630, ISSN 2168-2194
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/JBHI.2018.2866873

Deep attention-based neural networks for explainable heart sound classification

Autori: Zhao Ren; Kun Qian; Fengquan Dong; Zhenyu Dai; Wolfgang Nejdl; Yoshiharu Yamamoto; Björn W. Schuller
Pubblicato in: Machine Learning with Applications, 2022, ISSN 2666-8270
Editore: Oxford: Elsevier Ltd.
DOI: 10.1016/j.mlwa.2022.100322

Effect of boost articulation therapy (BArT) on intelligibility in adults with dysarthria

Autori: Viviana Mendoza Ramos; Charlotte Paulyn; Leen Van den Steen; Maria E. Hernandez-Diaz Huici; Marc De Bodt; Gwen Van Nuffelen
Pubblicato in: International Journal of Language & Communication Disorders, 2021, ISSN 1368-2822
Editore: Taylor & Francis
DOI: 10.1111/1460-6984.12595

Empirical Mode Decomposition articulation feature extraction on Parkinson’s Diadochokinesia

Autori: Alice Rueda; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth; Sridhar Krishnan
Pubblicato in: Computer Speech & Language, Numero 26, 2022, ISSN 0885-2308
Editore: Academic Press
DOI: 10.1016/j.csl.2021.101322

Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate

Autori: Juan Camilo Vasquez-Correa; Tomas Arias-Vergara; Maria Schuster; Juan Rafael Orozco-Arroyave; Elmar Nöth
Pubblicato in: Speech Communication, 2020, ISSN 0167-6393
Editore: Elsevier BV
DOI: 10.1016/j.specom.2020.07.005

Intelligibility and comprehensibility: A Delphi consensus study

Autori: Pommée Timothy; Balaguer Mathieu; Mauclair Julie; Pinquier Julien; Woisard Virginie
Pubblicato in: International Journal of Language and Communication Disorders, 2022, ISSN 1368-2822
Editore: Taylor & Francis
DOI: 10.1111/1460-6984.12672

Assessing speech intelligibility of pathological speech: test types, ratings and transcription measures.

Autori: Xue, Wei; van Hout, Roeland; Cucchiarini, Catia; Strik, Helmer
Pubblicato in: urn:issn:0269-9206, Numero 10, 2021, ISSN 0269-9206
Editore: Taylor & Francis
DOI: 10.1080/02699206.2021.2009918

Depression assessment in people with Parkinson’s disease: The combination of acoustic features and natural language processing

Autori: Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Philipp Klumpp; Juan Camilo Vásquez-Correa; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave
Pubblicato in: Speech Communication, Numero 5, 2022, ISSN 0167-6393
Editore: Elsevier BV
DOI: 10.1016/j.specom.2022.09.001

Respiratory health sensing from speech

Autori: Nallanthighal Venkata Srikanth
Pubblicato in: 2022
Editore: Zenodo
DOI: 10.48273/lot0625

Making speech technology accessible for pathological speakers

Autori: Bence Halpern
Pubblicato in: Numero 4, 2022, ISBN 978-94-6458-494-3
Editore: Ridderprint | www.ridderprint.nl
DOI: 10.5281/zenodo.7152017

The added value of speech technology in clinical care of patients with dysarthria

Autori: Viviana Mendoza Ramos
Pubblicato in: 2022
Editore: University of Antwerp
DOI: 10.5281/zenodo.7493456

Measuring the intelligibility of pathological speech through subjective and objective procedures

Autori: Xue, Wei
Pubblicato in: Numero 1, 2023
Editore: Radboud University
DOI: 10.5281/zenodo.7764177

Continuous speech recognition for people with dysarthria

Autori: Zhengjun Yue
Pubblicato in: Numero 11, 2023
Editore: Zhengjun Yue
DOI: 10.5281/zenodo.7672613

Analysis of Pathological Speech Signals

Autori: Arias-Vergara, Tomás
Pubblicato in: Numero 22, 2022
Editore: Published in gnd:978-3-8325-5561-7 (Thesis)
DOI: 10.5281/zenodo.7123245

Multimodal Assessment of Parkinson's Disease Patients Using Information from Speech, Handwriting, and Gait

Autori: Juan Camilo Vasquez-Correa
Pubblicato in: Numero 12, 2020
Editore: Juan Camilo Vasquez-Correa
DOI: 10.5281/zenodo.7214613

Deep Learning Techniques for Computer Audition

Autori: Zhao Ren
Pubblicato in: 2022
Editore: University of Augsburg
DOI: 10.5281/zenodo.7118482

Les mesures d'intelligibilité : état de l'art, considérations pratiques pour l'applicabilité clinique et explorations acoustiques

Autori: Pommée Timothy
Pubblicato in: Numero 3, 2021
Editore: Pommée Timothy
DOI: 10.5281/zenodo.7116664

Linguistic- and Acoustic-based Automatic Dementia Detection using Deep Learning Methods

Autori: Yilin Pan
Pubblicato in: 2022
Editore: University of Sheffield
DOI: 10.5281/zenodo.7127685

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