Dysarthria Detection Using Convolutional Neural Network
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Publisher
Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-69921-5_45
Reference14 articles.
1. Edwards M (2012) Disorders of articulation: aspects of dysarthria and verbal dyspraxia, vol 7. Springer Science & Business Media
2. Hodge M (2013) Developmental dysarthria (2013). Cambridge Handbooks in Language and Linguistics. Cambridge University Press. https://doi.org/https://doi.org/10.1017/CBO9781139108683.004
3. Bhat C, Vachhani B, Kopparapu SK (2017) Automatic assessment of dysarthria severity level using audio descriptors. In: IEEE International conference on acoustics, speech and signal processing (ICASSP). IEEE, pp 5070–5074
4. Balaji V, Sadashivappa G (2019) Waveform analysis and feature extraction from speech data of dysarthric persons. In: 2019 6th international conference on signal processing and integrated networks (SPIN). Noida, India, pp 955–960. https://doi.org/10.1109/SPIN.2019.8711768.
5. Vyas G, Dutta MK, Prinosil J, Harár P (2016) An automatic diagnosis and assessment of dysarthric speech using speech disorder specific prosodic features. In: 2016 39th international conference on telecommunications and signal processing (TSP). Vienna, pp 515–518. https://doi.org/10.1109/TSP.2016.7760933.
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