كتاب
Machine learning in assistive technology: A solution for people with dysarthria
| العنوان: | Machine learning in assistive technology: A solution for people with dysarthria |
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| المؤلفون: | Mulfari D., Meoni G., Fanucci L. |
| المساهمون: | Mulfari, D., Meoni, G., Fanucci, L. |
| بيانات النشر: | Association for Computing Machinery USA New York |
| سنة النشر: | 2018 |
| المجموعة: | ARPI - Archivio della Ricerca dell'Università di Pisa |
| مصطلحات موضوعية: | Assistive Technology, Automatic Speech Recognition, Dysarthria, Machine Learning |
| الوصف: | Nowadays, dysarthric speech processing represents a challenge in assistive technology contexts. In this paper, we investigate the use of machine learning in conjunction with convolutional neural networks to implement a speaker dependent solution that is capable to detect just a few number of predefined keywords. The proposed system has been trained with utterances from Italian users with severe and mild dysarthria and it is configurable according to specific users’ preferences. |
| نوع الوثيقة: | book part |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/isbn/9781450365819; info:eu-repo/semantics/altIdentifier/wos/WOS:000470918900053; ispartofbook:ACM International Conference Proceeding Series; firstpage:308; lastpage:309; numberofpages:2; http://hdl.handle.net/11568/1019565Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85061085571; http://portal.acm.orgTest/ |
| DOI: | 10.1145/3284869.3284928 |
| الإتاحة: | https://doi.org/10.1145/3284869.3284928Test http://hdl.handle.net/11568/1019565Test http://portal.acm.orgTest/ |
| رقم الانضمام: | edsbas.5FC5C150 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1145/3284869.3284928 |
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