A Novel Approach to Increase the Efficiency of a Multi-lingual Real-time Speaker Identification System

Author:

Pradhan Alaka1,Sarangi Susanta Kumar2,Bhuyan Kanhu Charan3

Affiliation:

1. Dept. of Instrumentation and Electronics Engineering, College of Engineering and Technology, Bhubaneswar, India

2. Dept. of Electronics and Communication Engineering, ITER, SOA Deem to be University, Bhubaneswar, India

3. Dept.of Instrumentation and Electronics Engineering, College of Engineering and Technology, Bhubaneswar, India

Abstract

Nowadays, the real-time speaker recognition system is very popular due to its cost-effective nature. However, it is a very challenging one to produce a more efficient speaker identification system. In our work, we work on a multi-lingual real-time speaker identification system. We work in a novel way to enhance the efficiency of the said system. We take some real speech signals and use different speech enhancement methods and our proposed voice activity method (VAD) to enhance the efficiency of said system. By doing so, we increase the accuracy of the said system relatively by 2% as compared to existing methods.

Publisher

North Atlantic University Union (NAUN)

Subject

Management, Monitoring, Policy and Law,Geography, Planning and Development

Reference27 articles.

1. Helander, Martin G., ed. Handbook of human-computer interaction. Elsevier, 2014

2. Mohamed Faouzi, Ben Zeghibaa, "Joint Speech And Speaker recognition," in IDIAPRR, February 2005, pp. 05-28.

3. Prateek Srivastava, Reena Panda & Sankarsan Rauta, "A Novel, Robust, Hierarchical text-independent Speaker recognition Technique," An International Journal (SPIJ), 2012.

4. S. Priyadarshini, S. K. Sarangi and K. C. Bhuyan, "A Novel Approach To Enhance The Efficiency Of Real-Time Speaker Identification System," 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), Bhubaneswar, India, 2018, pp. 52-54.

5. Namrata Dave, "Feature Extraction Methods LPC,PLP and MFCC In Speech Recognition," International journal for advance research in engineering and technology, vol. 1, no. VI, July 2013.

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