Performance Evaluation Of Acoustic-Spectrographic Voice Identification Method In Native And Non-Native Speech

Krasnova, Elena A.; Bulgakova, Elena; Shchemelinin, Vadim

doi:10.5281/zenodo.1125337

2016

DOI: 10.5281/zenodo.1125337

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Performance Evaluation Of Acoustic-Spectrographic Voice Identification Method In Native And Non-Native Speech

Elena A. Krasnova¹,

Elena Bulgakova²,

Vadim Shchemelinin³

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Voice recognition through the use of Gabor transform and heuristic algorithm

Woźniak

Połap

2017

International Journal of Electronics and Telecommunications

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Abstract-Increasingly popular use of verification methods based on specific characteristics of people like eyeball, fingerprint or voice makes inventing more accurate and irrefutable methods of that urgent. In this work we present voice verification based on Gabor transformation. Proposed approach involves creation of spectrogram, which serves as a habitat for the population in selected heuristic algorithm. The use of heuristic allows for feature extraction to enable identity verification using classical neural network. The results of the research are presented and discussed to show efficiency of the proposed methodology.

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Voice recognition through the use of Gabor transform and heuristic algorithm

Woźniak

Połap

2017

International Journal of Electronics and Telecommunications

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show abstract

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Performance Evaluation Of Acoustic-Spectrographic Voice Identification Method In Native And Non-Native Speech

Cited by 1 publication

References 0 publications

Voice recognition through the use of Gabor transform and heuristic algorithm

Voice recognition through the use of Gabor transform and heuristic algorithm

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