论文信息 - Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases - 字舞流文

Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases

Julie Cattiau | Katrin Tomanek | Jimmy Tobin | Jordan R. Green | Robert L. MacDonald | Rus Heywood | Richard Cave | Katie Seaver | Marilyn A. Ladewig | Michael P. Brenner | Philip C. Nelson | Pan-Pan Jiang | Katrin Tomanek | J. Green | R. L. MacDonald | Julie Cattiau | Rus Heywood | Richard Cave | Katie Seaver | Jimmy Tobin | P. Jiang | K. Tomanek

[1] Richard M. Stern,et al. Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis , 2008, INTERSPEECH.

[2] Linda J. Ferrier,et al. Dysarthric speakers' intelligibility and speech characteristics in relation to computer speech recognition , 1995 .

[3] Quoc V. Le,et al. SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition , 2019, INTERSPEECH.

[4] Myung Jong Kim,et al. Dysarthric speech recognition using dysarthria-severity-dependent and speaker-adaptive models , 2013, INTERSPEECH.

[5] G. Weismer,et al. Predicting speech intelligibility with a multiple speech subsystems approach in children with cerebral palsy. , 2014, Journal of speech, language, and hearing research : JSLHR.

[6] Karen A Hux,et al. Accuracy of three speech recognition systems: Case study of dysarthric speech , 2000 .

[7] A. Aronson,et al. Motor Speech Disorders , 2014 .

[8] Seyed Reza Shahamiri,et al. Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC parameters and studying a speaker-independent approach , 2014, Adv. Eng. Informatics.

[9] Panying Rong,et al. Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach , 2015, Behavioural neurology.