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A Digital Personal Assistant using Bangla Voice Command Recognition and Face Detection
Department of Computer Science and Engineering, Port City International University, Chattogram, Bangladesh.
Department of Computer Science and Engineering, University of Chittagong, Chattogram, Bangladesh.
University of Chittagong, Bangladesh.ORCID-id: 0000-0002-7473-8185
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. (Pervasive Mobile Computing)ORCID-id: 0000-0003-0244-3561
Vise andre og tillknytning
2019 (engelsk)Inngår i: Proceedings of IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things 2019, 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Though speech recognition has been a common interest of researchers over the last couple of decades, but very few works have been done on Bangla voice recognition. In this research, we developed a digital personal assistant for handicapped people which recognizes continuous Bangla voice commands. We employed the cross-correlation technique which compares the energy of Bangla voice commands with prerecorded reference signals. After recognizing a Bangla command, it executes a task specified by that command. Mouse cursor can also be controlled using the facial movement of a user. We validated our model in three different environments (noisy, moderate and noiseless) so that the model can act naturally. We also compared our proposed model with a combined model of MFCC & DTW, and another model which combines crosscorrelation with LPC. Results indicate that the proposed model achieves a huge accuracy and smaller response time comparing to the other two techniques.

sted, utgiver, år, opplag, sider
2019.
Emneord [en]
Bangla voice recognition, Speech recognition, Face detection, Personal assistance, Handicapped people
HSV kategori
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Identifikatorer
URN: urn:nbn:se:ltu:diva-76791OAI: oai:DiVA.org:ltu-76791DiVA, id: diva2:1371708
Konferanse
IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things 2019
Tilgjengelig fra: 2019-11-20 Laget: 2019-11-20 Sist oppdatert: 2019-12-06

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Andersson, Karl

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