Training Network on Automatic Processing of PAthological Speech

Rezultaty

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

Training reports M36 D43

Training reports M48 D43

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)

Publikacje

Pathological voice adaptation with autoencoder-based voice conversion

Autorzy: Marc Illa; Bence Mark Halpern; Rob J.J.H. van Son; Laureano Moro-Velázquez; Odette Scharenborg
Opublikowane w: TITLE=Proceedings of the 11th ISCA Speech Synthesis Workshop (SSW 11), Numer 3, 2021
Wydawca: 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

Autorzy: Bence Halpern; Finnian Kelly; Rob van Son; Anil Alexander
Opublikowane w: Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 2020
Wydawca: ISCA
DOI: 10.21437/odyssey.2020-46

Multilingual Transfer Learning for Children Automatic Speech Recognition

Autorzy: Rolland, Thomas; Abad, Alberto; Cucchiarini, Catia; Strik, Helmer
Opublikowane w: Proceedings of the Thirteenth Language Resources and Evaluation Conference (LREC 2022), 7314 - 7320, Numer 11, 2022
Wydawca: LREC 2022
DOI: 10.5281/zenodo.7185808

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

Autorzy: Zhengjun Yue; Heidi Christensen; Jon Barker
Opublikowane w: Crossref, Numer 2, 2020
Wydawca: Proc. Interspeech 2020
DOI: 10.21437/interspeech.2020-2746

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

Autorzy: Zhao Ren; Jing Han; Nicholas Cummins; Björn Schuller
Opublikowane w: Proc. Interspeech 2020, Numer 5, 2020
Wydawca: ISCA
DOI: 10.21437/interspeech.2020-1869

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

Autorzy: Zhao Ren; Alice Baird; Jing Han; Zixing Zhang; Björn Schuller
Opublikowane w: ICASSP 2020, 2020
Wydawca: IEEE
DOI: 10.1109/icassp40776.2020.9054087

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

Autorzy: Hermann, Enno; Magimai.-Doss, Mathew
Opublikowane w: 2023
Wydawca: Interspeech, 2023
DOI: 10.5281/zenodo.8092573

Towards Identity Preserving Normal to Dysarthric Voice Conversion

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

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

Autorzy: Yue, Zhengjun; Barker, Jon; Christensen, Heidi
Opublikowane w: Interspeech 2021, 30 Aug - 03 Sep 2021, Brno, Czechia., 2021
Wydawca: ISCA
DOI: 10.21437/interspeech.2021-1297

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

Autorzy: Anna Pompili; Thomas Rolland; Alberto Abad
Opublikowane w: Crossref, Numer 61, 2020
Wydawca: Interspeech 2020
DOI: 10.5281/zenodo.7434837

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

Autorzy: Schäfer, Paula; Pérez-Toro, Paula Andrea; Klumpp, Philipp; Orozco-Arroyave, Juan Rafael; Nöth, Elmar; Maier, Andreas; Abad, Alberto; Schuster, Maria; Arias Vergara, Tomás
Opublikowane w: Proc. Interspeech 2022, Numer 5, 2022
Wydawca: ISCA
DOI: 10.5281/zenodo.7438886

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

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

Handling Acoustic Variation in Dysarthric Speech Recognition Systems Through Model Combination

Autorzy: Hermann, Enno; Magimai.-Doss, Mathew
Opublikowane w: Interspeech 2021, 2021
Wydawca: ISCA
DOI: 10.21437/interspeech.2021-2212

Raw source and filter modelling for dysarthric speech recognition

Autorzy: Yue, Zhengjun; Loweimi, Erfan; Cvetkovic, Zoran
Opublikowane w: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 2022
Wydawca: IEEE
DOI: 10.1109/icassp43922.2022.9746553

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

Autorzy: Merlin Albes; Zhao Ren; Björn W. Schuller; Nicholas Cummins
Opublikowane w: Proc. Interspeech 2020, 2020
Wydawca: ISCA
DOI: 10.21437/interspeech.2020-2531

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

Autorzy: Zhengjun Yue; Feifei Xiong; Heidi Christensen; Jon Barker
Opublikowane w: ICASSP, Numer 11, 2020
Wydawca: 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

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

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

Autorzy: Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Heidi Christensen; Jon Barker
Opublikowane w: Crossref, Numer 5, 2022
Wydawca: ICASSP
DOI: 10.5281/zenodo.7180794

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

Autorzy: Julian Fritsch; S. Pavankumar Dubagunta; Mathew Magimai.-Doss
Opublikowane w: {ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numer 5, 2020
Wydawca: 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

Autorzy: Juan Camilo Vásquez-Correa; Tomas Arias-Vergara; Philipp Klumpp; Paula Andrea Pérez-Toro; Juan Rafael Orozco-Arroyave; Elmar Nöth
Opublikowane w: ICASSP, Numer 8, 2021
Wydawca: 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

Autorzy: Rubén Solera-Ureña; Catarina Botelho; Francisco Teixeira; Thomas Rolland; Alberto Abad; Isabel Trancoso
Opublikowane w: Proc. Interspeech 2021, 2021
Wydawca: ISCA
DOI: 10.21437/interspeech.2021-1702

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

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

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

Autorzy: Yue, Zhengjun; Loweimi. Erfan; Cvetkovic, Zoran; Christensen, Heidi; Barker, Jon
Opublikowane w: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numer 5, 2022
Wydawca: 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

Autorzy: Vasquez-Correa, J. C.; Bocklet, T.; Orozco-Arroyave, J. R.; N��th, E.
Opublikowane w: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numer 5, 2020
Wydawca: ICASSP
DOI: 10.48550/arxiv.2002.05412

Attention-based Convolutional Neural Networks for Acoustic Scene Classification

Autorzy: Ren, Zhao; Kong, Qiuqiang; Qian, Kun; Mark Plumbley; Schuller, Björn
Opublikowane w: ResearcherID, Numer 21, 2018
Wydawca: DCASE Workshop 2018
DOI: 10.5281/zenodo.3661161

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

Autorzy: Yue, Zhengjun; Christensen, Heidi; Barker, Jon
Opublikowane w: Proceedings of Interspeech 2020. Interspeech 2020, 25-29 Oct 2020, Shanghai, China (Online), Numer 5, 2020
Wydawca: ISCA
DOI: 10.5281/zenodo.7180740

Towards a Comprehensive Assessment of Speech Intelligibility for Pathological Speech

Autorzy: Xue, Wei; Mendoza Ramos, Viviana; Harmsen, Wieke; Cucchiarini, Catia; van Hout, Roeland; Strik, Helmer
Opublikowane w: Proc. Interspeech 2020, 2020
Wydawca: ISCA
DOI: 10.21437/interspeech.2020-2693

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

Autorzy: Feifei Xiong; Jon Barker; Zhengjun Yue; Heidi Christensen
Opublikowane w: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Numer 5, 2020
Wydawca: ICASSP
DOI: 10.5281/zenodo.7180779

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

Autorzy: 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
Opublikowane w: Interspeech 2020, Proc. Interspeech 2020, 2020
Wydawca: ISCA
DOI: 10.21437/interspeech.2020-2635

An Objective Evaluation Framework for Pathological Speech Synthesis

Autorzy: Bence Halpern; Julian Fritsch; Enno Hermann; Rob van Son; Mathew Magimai.-Doss; Odette Scharenborg
Opublikowane w: Speech Communication; 14th ITG Conference, Numer 5, 2021, ISBN 978-3-8007-5627-8
Wydawca: 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

Autorzy: Pan, Yilin; Mirheidari, Bahman; Harris, Jennifer M; Thompson, Jennifer C; Jones, Matthew; Snowden, Julie S; Blackburn, Daniel; Christensen, Heidi
Opublikowane w: Interspeech 2021, 2021
Wydawca: ISCA
DOI: 10.5281/zenodo.7127725

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

Autorzy: Juan Camilo Vásquez Correa, Tomas Arias, Juan Rafael Orozco-Arroyave, Elmar Nöth
Opublikowane w: Interspeech 2018, 2018, Strona(/y) 456-460
Wydawca: ISCA
DOI: 10.21437/interspeech.2018-1988

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

Autorzy: Nicanor Garcia, Juan Camilo Vásquez Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Opublikowane w: Interspeech 2018, 2018, Strona(/y) 2349-2353
Wydawca: ISCA
DOI: 10.21437/interspeech.2018-2295

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

Autorzy: Wei Xue, Catia Cucchiarini, Roeland van Hout, Helmer Strik
Opublikowane w: SLaTE 2019: 8th ISCA Workshop on Speech and Language Technology in Education, 2019, Strona(/y) 48-52
Wydawca: 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

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

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data

Autorzy: Philipp Klumpp, J.C. Vásquez-Correa, Tino Haderlein, Elmar Nöth
Opublikowane w: Interspeech 2019, 2019, Strona(/y) 3068-3072
Wydawca: ISCA
DOI: 10.21437/interspeech.2019-2080

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

Autorzy: J.C. Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth
Opublikowane w: Interspeech 2019, 2019, Strona(/y) 549-553
Wydawca: ISCA
DOI: 10.21437/interspeech.2019-1405

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Autorzy: Alice Rueda, J.C. Vásquez-Correa, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth
Opublikowane w: Interspeech 2019, 2019, Strona(/y) 3048-3052
Wydawca: ISCA
DOI: 10.21437/interspeech.2019-2490

Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease

Autorzy: Philipp Klumpp, Thomas Janu, Tomás Arias-Vergara, J.C. Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Opublikowane w: Interspeech 2017, 2017, Strona(/y) 1839-1843
Wydawca: ISCA
DOI: 10.21437/interspeech.2017-416

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

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

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

Autorzy: Julian Fritsch, Sebastian Wankerl, Elmar Noth
Opublikowane w: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Strona(/y) 5841-5845, ISBN 978-1-4799-8131-1
Wydawca: IEEE
DOI: 10.1109/icassp.2019.8682690

Automatic Hierarchical Attention Neural Network for Detecting AD

Autorzy: Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen
Opublikowane w: Interspeech 2019, 2019, Strona(/y) 4105-4109
Wydawca: ISCA
DOI: 10.21437/interspeech.2019-1799

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

Autorzy: Tomas Arias-Vergara, Juan Camilo Vasquez-Correa, Sandra Gollwitzer, Juan Rafael Orozco-Arroyave, Maria Schuster, Elmar Nöth
Opublikowane w: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, Numer 11896, 2019, Strona(/y) 679-687, ISBN 978-3-030-33903-6
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_64

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

Autorzy: T. Arias-Vergara, Juan Rafael Orozco-Arroyave, Milos Cernak, S. Gollwitzer, M. Schuster, Elmar Nöth
Opublikowane w: Interspeech 2019, 2019, Strona(/y) 3108-3112
Wydawca: ISCA
DOI: 10.21437/interspeech.2019-2144

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

Autorzy: Jing Han, Zixing Zhang, Zhao Ren, Bjorn Schuller
Opublikowane w: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Strona(/y) 5861-5865, ISBN 978-1-4799-8131-1
Wydawca: IEEE
DOI: 10.1109/icassp.2019.8682773

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

Autorzy: Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
Opublikowane w: Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019, 2019, Strona(/y) 71-75, ISBN 9781-450372626
Wydawca: ACM Press
DOI: 10.1145/3364836.3364851

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

Autorzy: Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
Opublikowane w: Proceedings of the 9th International Conference on Digital Public Health - DPH2019, 2019, Strona(/y) 79-83, ISBN 9781-450372084
Wydawca: ACM Press
DOI: 10.1145/3357729.3357743

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

Autorzy: Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Bjorn W. Schuller
Opublikowane w: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Strona(/y) 56-60, ISBN 978-1-4799-8131-1
Wydawca: IEEE
DOI: 10.1109/icassp.2019.8683434

Deep Sensing of Breathing Signal During Conversational Speech

Autorzy: Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik
Opublikowane w: Interspeech 2019, 2019, Strona(/y) 4110-4114
Wydawca: ISCA
DOI: 10.21437/interspeech.2019-1796

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

Autorzy: T. Arias-Vergara, J.C. Vasquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noth
Opublikowane w: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Strona(/y) 6004-6008, ISBN 978-1-5386-4658-8
Wydawca: IEEE
DOI: 10.1109/icassp.2018.8462332

Dysarthric Speech Recognition with Lattice-Free MMI

Autorzy: Enno Hermann, Mathew Magimai.-Doss
Opublikowane w: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Strona(/y) 6109-6113, ISBN 978-1-5090-6631-5
Wydawca: IEEE
DOI: 10.1109/icassp40776.2020.9053549

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

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

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

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

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

Autorzy: Luke Prananta; Bence Mark Halpern; Siyuan Feng; Odette Scharenborg
Opublikowane w: Interspeech 2022, 2022
Wydawca: ISCA
DOI: 10.21437/interspeech.2022-190

Detecting and Analysing Spontaneous Oral Cancer Speech in the Wild

Autorzy: 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
Opublikowane w: VOLUME=21;STARTPAGE=4826;ENDPAGE=4830;ISSN=1990-9772;TITLE=Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Numer 5, 2020, ISSN 1990-9772
Wydawca: Interspeech
DOI: 10.21437/interspeech.2020-1598

Deep Wavelets for Heart Sound Classification

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

Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs

Autorzy: Zhengjun Yue, Erfan Loweimi, Heidi Christensen, Jon Barker, Zoran Cvetkovic
Opublikowane w: Proceedings of Interspeech 2022, 2022
Wydawca: 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

Autorzy: Pan, Yilin; Mirheidari, Bahman; Reuber, Markus; Venneri, Annalena; Blackburn, Daniel; Christensen, Heidi
Opublikowane w: Proc. Interspeech 2020, 2020
Wydawca: ISCA
DOI: 10.21437/interspeech.2020-2698

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

Autorzy: Pérez-Toro, Paula Andrea; Vásquez-Correa, Juan Camilo; Arias-Vergara, Tomás; Klumpp, Philipp; Schuster, Maria; Nöth, Elmar; Orozco-Arroyave, Juan Rafael
Opublikowane w: Book cover Book cover International Conference on Text, Speech, and Dialogue, Numer TSD 2021, 2021, Strona(/y) pp. 457-468
Wydawca: 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

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

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

Autorzy: Xiong, Feifei; Baker, Jon; Yue, Zhengjun; Christensen, Heidi
Opublikowane w: Numer 2, 2020
Wydawca: 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"""

Autorzy: Thomas B. Tienkamp; Rob J. J. H. van Son; Bence Mark Halpern
Opublikowane w: 2022
Wydawca: Zenodo
DOI: 10.5281/zenodo.6401713

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

Autorzy: Rob van Son
Opublikowane w: 2019
Wydawca: Zenodo
DOI: 10.5281/zenodo.3378750

karkirowle/oral_cancer_analysis: Analysis backends for oral cancer paper

Autorzy: Bence Halpern
Opublikowane w: 2020
Wydawca: 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.

Autorzy: Mirheidari, B.; Pan, Y.; Walker, T.; Reuber, M.; Venneri, A.; Blackburn, D.; Christensen, H.
Opublikowane w: arXiv, Numer 1, 2019
Wydawca: 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

Autorzy: Ren, Zhao; Chang, Yi; Schuller, Björn W.
Opublikowane w: Numer 4, 2021
Wydawca: arXiv
DOI: 10.48550/arxiv.2108.03041

Pathological speech detection using x-vector embeddings

Autorzy: Botelho, Catarina; Teixeira, Francisco; Rolland, Thomas; Abad, Alberto; Trancoso, Isabel
Opublikowane w: Numer 32, 2020
Wydawca: Zenodo
DOI: 10.5281/zenodo.7434844

karkirowle/relative_phoneme_analysis: First release

Autorzy: Bence Halpern
Opublikowane w: 2021
Wydawca: Zenodo
DOI: 10.5281/zenodo.4679551

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

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"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""."

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Effects of acoustic characteristics on dysarthric speech intelligibility

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Quantifying Bias in Automatic Speech Recognition

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Manipulation of oral cancer speech using neural articulatory synthesis

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Data augmentation using generative networks to identify dementia

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idiap/torgo_asr: Torgo ASR 1.0.0

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

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The phonetic footprint of Parkinson's disease

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

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

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

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

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

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

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

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

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

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

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

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

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The phonetic footprint of Parkinson's disease

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

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

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

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

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

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

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

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

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

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

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GALP Qualifier Scale: Initial Considerations to Classify a Voice Problem

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

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

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

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

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Acoustic features to characterize sentence accent production in dysarthric speech

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

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Deep attention-based neural networks for explainable heart sound classification

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

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Empirical Mode Decomposition articulation feature extraction on Parkinson’s Diadochokinesia

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

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Intelligibility and comprehensibility: A Delphi consensus study

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

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

Autorzy: Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Philipp Klumpp; Juan Camilo Vásquez-Correa; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave
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Respiratory health sensing from speech

Autorzy: Nallanthighal Venkata Srikanth
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Making speech technology accessible for pathological speakers

Autorzy: Bence Halpern
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The added value of speech technology in clinical care of patients with dysarthria

Autorzy: Viviana Mendoza Ramos
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Measuring the intelligibility of pathological speech through subjective and objective procedures

Autorzy: Xue, Wei
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Continuous speech recognition for people with dysarthria

Autorzy: Zhengjun Yue
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Analysis of Pathological Speech Signals

Autorzy: Arias-Vergara, Tomás
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Multimodal Assessment of Parkinson's Disease Patients Using Information from Speech, Handwriting, and Gait

Autorzy: Juan Camilo Vasquez-Correa
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Deep Learning Techniques for Computer Audition

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

Autorzy: Pommée Timothy
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Linguistic- and Acoustic-based Automatic Dementia Detection using Deep Learning Methods

Autorzy: Yilin Pan
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Phonological i-Vectors to Detect Parkinson’s Disease

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

Autorzy: Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn Schuller
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Natural Language Analysis to Detect Parkinson’s Disease

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

Autorzy: Juan Camilo Vásquez-Correa, Cristian D. Rios-Urrego, Alice Rueda, Juan Rafael Orozco-Arroyave, Sri Krishnan, Elmar Nöth
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Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users

Autorzy: T. Arias-Vergara, J. R. Orozco-Arroyave, S. Gollwitzer, M. Schuster, E. Nöth
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Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s Disease

Autorzy: Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth
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Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises

Autorzy: L. Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth
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A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson’s Disease

Autorzy: Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth
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