A Novel Approach To Enhance The Efficiency Of Real-Time Speaker Identification System

Priyadarshini, Subhashree; Sarangi, Saumendra; Bhuyan, Kanhu Charan

doi:10.1109/icrieece44171.2018.9009340

Cited by 2 publications

(2 citation statements)

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“…As we know Mel frequency cepstral coefficient (MFCC) is very popular feature extraction method [5][6][7][8][9] and in recent years speech-signal-based frequency cepstral coefficient (SFCC) [4], [10][11][12] is doing well in speech based different applications. We use both the methods in this paper.…”

Section: A Feature Extraction Methods (Mfcc and Sfcc):-mentioning

confidence: 99%

“…For the case of our research, here Multi-lingual (multiple languages based speech signals i.e., in English, Hindi, and Odia) Speaker Identification will be the area of focus throughout. When it comes to the name real-time speaker identification system, the system will work under the real-time environmental conditions of the speaker itself, which will be a real practical service towards mankind and our society as extended to three different languages [4].…”

Section: Introductionmentioning

confidence: 99%

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

Pradhan¹,

Sarangi

Bhuyan³

2020

International Journal of Systems Applications, Engineering &Amp; Development

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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.

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