SIGN LANGUAGE TO SPEECH CONVERTERFORINDIANLANGUAGES
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Abstract
Sign language is a very essential communique tool for plenty deaf and mute human beings. So we proposed a version to understand sign gestures the usage of YOLOv5 (You only look as soon asversion 5). This version can locate sign gestures in complicated surroundings also. For this model wewere given the accuracy of 88.4% with precision of 86.6% and don't forget of 87.2%. The proposedmodel has evaluated on a labeled dataset Roboflow. Moreover we added some photographs for schoolingand checking out to get higher accuracy. We as compared our model with CNN (convolutional neural network) in which we were given accuracy of 91.98%. We checked this model for actual time detectionalso and got the accurateconsequences.
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References
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[11]. Sign Language Recognition Using Convolutional Neural Networks, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169Volume:5 Issue: 6, 2017.
[2]. Madeline Schiappa,“ Understanding the Back bone of VideoClassification:TheI3DArchitecture”, June 2020,https://towardsdatascience.com/understanding-thebackbone-of-video-classification-the-i3d-architectured4011391692
[3]. Muttu Mariappan H, Dr. GomathiV.“ RealTime Recognition of Indian Sign Language” Conference: 2019 International Conference on Computation alIntelligencein Data Science (ICCIDS).
[4]. Neel Kamal Bhagat, Vishnusai Y, Rathna GN,” Indian Sign Language Gesture Recognition using Image Processing and DeepLearning,2019”.
[5]. T. Bohra, S. Sompura, K. Parekh and P. Raut," Real Time Two Way Communication System for Speech and Hearing Impaired Using Computer Vision and Deep Learning," 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2019, pp.734-739.
[6]. Priyankur Sarkar,“ Whatis LDA: Linear Discriminant Analysis for Machine Learning”,September2019.
[7]. Kumar Mahesh,“ Conversion of Sign Language into Text,” International Journal of Applied Engineering Research ISSN0973-4562Volume 13,Number9(2018)pp. 7154-7161.
[8]. Suharjito, Suharjito& Gunawan, Herman & Thiracitta, Narada & Nugroho, Ariadi. (2018). Sign Language Recognition Using Modified Convolutional Neural Network Model.1-5.
[9]. K. Bantupalli and Y. Xie, "American Sign Language Recognition using Deep Learning and Computer Vision," 2018 IEEEInternationalConferenceonBigData(BigData),Seattle,WA,USA,2018,pp.4896-4899,doi:10.1109
/BigData.2018. 8622141.
[10]. Sik- HoTsang,“ Review: Inception-v3-1st Runner Up (Image Classification) in ILSVRC 2015”, September 2018 https://shtsang.medium.com/review- inception- v3- 1strunner-up-image-classification-in-ilsvrc-2015- 17915421f77c
[11]. Sign Language Recognition Using Convolutional Neural Networks, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169Volume:5 Issue: 6, 2017.