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Voice Recognition Technique Using Neural Network

Anagha Girme, Nivedita Mahato, Sucheta Manve, Abhijeet Banubakode

Abstract


The scope of voice recognition ranges from access control to forensics. In a given environment the system will be able to recognize the correct speaker. This voice recognition technology can also recognize the voice based on their gender. This system uses the basic idea of Artificial Neural Network (ANN). Various techniques of ANN have been used in past to implement this system. This paper gives us some of the important information about the methods used for voice recognition system. The methods are Radial Basis Function (RBF), Multilayer Perceptron (MP), Field Programmable Gate Array (FPGA), Guassian Mixture Model (GMM). Dynamic Time Warping (DTW) etc. This system can be developed with the help of Java as well as Matlab.

 

Cite this Article
Anagha Girme, Nivedita Mahato, Sucheta Manve, Abhijeet Banubakode, Voice Recognition Technique Using Neural Network, Journal of Artificial Intelligence Research & Advances. 2015; 2(1): 15–18p.


Keywords


ANN, feature extraction, speaker identification, speaker verification, radial basis function

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References


Luo Zhizeng, Zhao. Speech, Recognition and Its Application in Voice-based Robot Control System Jinghing. Robot research laboratory. Zhejiang Province, China: Hangzhou Institute of Electronic Engineering Hangzhou; 2010.

F-Romero, S. O. Caballero-Morales. Speaker identification using Neural Networks on an FPGA. División de Estudios de Posgrado.

Ronanki Srikanth, Bajibabu B, Kishore Prahallad. Duration Modelling In Voice Conversion Using Artificial Neural Networks. International Institute of Information Technology, Hyderabad, India. http://ravi.iiit.ac.in/~speech/publications/2012_Conf_P003.pdf

Hamza A. AlAbri, Ahmed M. AlWesti, Mohammed A. AlMaawali, et al. NavEye: Smart Guide for Blind Students Qaboos University.

Fredrickson, Tarassenk. Text-Independent Speaker Recognition Using Neural Network 'Techniques. Oxford University, UK.

Ravi Sankar, Netoo Singh Sethi. Robust Speech Recognition Techniques Using a Radial Basis function Neural Network for Mobile Applications, Department of Electrical Engineering. University of South Florida Tampa, Florida.

Hai Yang, Yunfei Xu, Houjun Huang, et al. Voice biometrics using linear Gaussian model. 2014

Laboratory of Speech Acoustics and Content Understanding, Chinese Academy of Sciences, 21 Beisihuan XiLu, Beijing.

Subhadeep Dey, Sujit Barman, Ramesh K. Bhukya, et al. Speech Biometric Based Attendance System Department of Electronics and Electrical Engineering Indian Institute of Technology, Guwahati, India.

Trujillo-Romero F, Caballero-Morales SO. Speaker identification using Neural Networks on an FPGA. División de Estudios de Posgrado. Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2012.


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