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Research Article

An investigation of different degrees of dysarthric speech as input to speaker-adaptive and speaker-dependent recognition systems

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Pages 265-275 | Published online: 12 Jul 2009

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Read on this site (6)

Susan Koch Fager & Judith M. Burnfield. (2015) Speech Recognition for Environmental Control: Effect of Microphone Type, Dysarthria, and Severity on Recognition Results. Assistive Technology 27:4, pages 199-207.
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Susan Fager, David R. Beukelman, Melanie Fried-Oken, Tom Jakobs & John Baker. (2012) Access Interface Strategies. Assistive Technology 24:1, pages 25-33.
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Susan K. Fager, David R. Beukelman, Tom Jakobs & John-Paul Hosom. (2010) Evaluation of a Speech Recognition Prototype for Speakers with Moderate and Severe Dysarthria: A Preliminary Report. Augmentative and Alternative Communication 26:4, pages 267-277.
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Rupal Patel$suffix/text()$suffix/text(). (2007) Dysarthria interventions that address self-monitoring of respiratory and phonatory physiology seem to facilitate use of speech-recognition software1 . Evidence-Based Communication Assessment and Intervention 1:3, pages 127-130.
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Kathryn Hird & Neville W. Hennessey. (2007) Facilitating use of speech recognition software for people with disabilities: A comparison of three treatments. Clinical Linguistics & Phonetics 21:3, pages 211-226.
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Articles from other publishers (31)

Komal Bharti & Pradip K. Das. (2022) A Survey on ASR Systems for Dysarthric Speech. A Survey on ASR Systems for Dysarthric Speech.
Zhengjun Yue, Erfan Loweimi, Heidi ChristensenJon BarkerZoran Cvetkovic. (2022) Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, pages 2968-2980.
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Benjamin G. Schultz, Venkata S. Aditya Tarigoppula, Gustavo Noffs, Sandra Rojas, Anneke van der Walt, David B. Grayden & Adam P. Vogel. (2021) Automatic speech recognition in neurodegenerative disease. International Journal of Speech Technology 24:3, pages 771-779.
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Dhanalakshmi M.Nagarajan T.Vijayalakshmi P.. (2021) Significant sensors and parameters in assessment of dysarthric speech. Sensor Review 41:3, pages 271-286.
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Davide Mulfari, Gabriele Meoni, Marco Marini & Luca Fanucci. (2021) Machine learning assistive application for users with speech disorders. Applied Soft Computing 103, pages 107147.
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Bassam Ali Al-Qatab, Mumtaz Begum Mustafa, Siti Salwah Salim & Asmiza Abdul Sani. (2021) Determining the adaptation data saturation of ASR systems for dysarthric speakers. International Journal of Speech Technology 24:1, pages 183-192.
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Irene Calvo, Peppino Tropea, Mauro Viganò, Maria Scialla, Agnieszka B. Cavalcante, Monika Grajzer, Marco Gilardone & Massimo Corbo. (2021) Evaluation of an Automatic Speech Recognition Platform for Dysarthric Speech. Folia Phoniatrica et Logopaedica 73:5, pages 432-441.
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Gianluca Giuffrida, Gabriele Meoni & Luca Fanucci. (2019) A YOLOv2 Convolutional Neural Network-Based Human–Machine Interface for the Control of Assistive Robotic Manipulators. Applied Sciences 9:11, pages 2243.
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Adam Jacks, Katarina L. Haley, Gary Bishop & Tyson G. Harmon. (2019) Automated Speech Recognition in Adult Stroke Survivors: Comparing Human and Computer Transcriptions. Folia Phoniatrica et Logopaedica 71:5-6, pages 286-296.
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N. Rajeswari & S. Chandrakala. (2016) Generative Model-Driven Feature Learning for dysarthric speech recognition. Biocybernetics and Biomedical Engineering 36:4, pages 553-561.
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Frank Rudzicz. 2016. Clear Speech. Clear Speech.
Mumtaz Begum Mustafa, Fadhilah Rosdi, Siti Salwah Salim & Muhammad Umair Mughal. (2015) Exploring the influence of general and specific factors on the recognition accuracy of an ASR system for dysarthric speaker. Expert Systems with Applications 42:8, pages 3924-3932.
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Sriranjani R.M. Ramasubba Reddy & S. Umesh. (2015) Improved acoustic modeling for automatic dysarthric speech recognition. Improved acoustic modeling for automatic dysarthric speech recognition.
Bart Ons, Jort F Gemmeke & Hugo Van hamme. (2014) The self-taught vocal interface. EURASIP Journal on Audio, Speech, and Music Processing 2014:1.
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Seyed Reza Shahamiri & Siti Salwah Binti Salim. (2014) A Multi-Views Multi-Learners Approach Towards Dysarthric Speech Recognition Using Multi-Nets Artificial Neural Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering 22:5, pages 1053-1063.
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Santiago-Omar Caballero-Morales & Felipe Trujillo-Romero. (2014) Evolutionary approach for integration of multiple pronunciation patterns for enhancement of dysarthric speech recognition. Expert Systems with Applications 41:3, pages 841-852.
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Seyed Reza Shahamiri & Siti Salwah Binti Salim. (2014) Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC parameters and studying a speaker-independent approach. Advanced Engineering Informatics 28:1, pages 102-110.
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Sunhee Kim, Yumi Hwang, Daejin Shin, Chang-Yeal Yang, Seung-Yeun LeeJin Kim, Byunggoo Kong, Jio Chung, Namhyun Cho, Ji-Hwan Kim & Minhwa Chung. (2013) VUI development for Korean people with dysarthria. Journal of Assistive Technologies 7:3, pages 188-200.
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Frank Rudzicz. (2013) Adjusting dysarthric speech signals to be more intelligible. Computer Speech & Language 27:6, pages 1163-1177.
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Harsh Vardhan Sharma & Mark Hasegawa-Johnson. (2013) Acoustic model adaptation using in-domain background models for dysarthric speech recognition. Computer Speech & Language 27:6, pages 1147-1162.
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Santiago Omar Caballero Morales, Gladys Bonilla Enríquez & Felipe Trujillo Romero. (2013) Speech-Based Human and Service Robot Interaction: An Application for Mexican Dysarthric People. International Journal of Advanced Robotic Systems 10:1, pages 11.
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Santiago-Omar Caballero-Morales. (2013) Estimation of Phoneme-Specific HMM Topologies for the Automatic Recognition of Dysarthric Speech. Computational and Mathematical Methods in Medicine 2013, pages 1-15.
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Santiago Omar Caballero-Morales & Felipe Trujillo-Romero. 2013. Advances in Computational Intelligence. Advances in Computational Intelligence 175 187 .
Frank Rudzicz, Graeme Hirst & Pascal van Lieshout. (2012) Vocal Tract Representation in the Recognition of Cerebral Palsied Speech. Journal of Speech, Language, and Hearing Research 55:4, pages 1190-1207.
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Laura J. Ball, Susan Fager & Melanie Fried-Oken. (2012) Augmentative and Alternative Communication for People with Progressive Neuromuscular Disease. Physical Medicine and Rehabilitation Clinics of North America 23:3, pages 689-699.
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Tiago H. Falk, Wai-Yip Chan & Fraser Shein. (2012) Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility. Speech Communication 54:5, pages 622-631.
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Frank Rudzicz. (2012) Using articulatory likelihoods in the recognition of dysarthric speech. Speech Communication 54:3, pages 430-444.
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Frank Rudzicz. (2011) Articulatory Knowledge in the Recognition of Dysarthric Speech. IEEE Transactions on Audio, Speech, and Language Processing 19:4, pages 947-960.
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Kinfe Tadesse Mengistu & Frank Rudzicz. (2011) Adapting acoustic and lexical models to dysarthric speech. Adapting acoustic and lexical models to dysarthric speech.
Tiago H. Falk, Richard Hummel & Wai-Yip Chan. (2011) Quantifying perturbations in temporal dynamics for automated assessment of spastic dysarthric speech intelligibility. Quantifying perturbations in temporal dynamics for automated assessment of spastic dysarthric speech intelligibility.
M. Hasegawa-Johnson, J. Gunderson, A. Perlman & T. Huang. (2006) Hmm-Based and Svm-Based Recognition of the Speech of Talkers With Spastic Dysarthria. Hmm-Based and Svm-Based Recognition of the Speech of Talkers With Spastic Dysarthria.

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