Speech Accent Recognition

C. Shantoash; M. Vishal; S. Shruthi; Gopalsamy N. Bharathi

doi:10.4028/p-irai1l

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HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 124Speech Accent Recognition

Speech Accent Recognition

Abstract:

The speech accent demonstrates that accents are systematic instead of merely mistaken speech. This project allows detecting the demographic and linguistic backgrounds of the speakers by comparing different speech outputs with the speech accent archive dataset to work out which variables are key predictors of every accent. Given a recording of a speaker speaking a known script of English words, this project predicts the speaker’s language. This project aims to classify various sorts of accents, specifically foreign accents, by the language of the speaker. This project revolves round the detection of backgrounds of each individual using their speeches

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Periodical:

Advances in Science and Technology (Volume 124)

Pages:

392-397

DOI:

https://doi.org/10.4028/p-irai1l

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Online since:

February 2023

Authors:

C. Shantoash*, M. Vishal, S. Shruthi, Gopalsamy N. Bharathi

Keywords:

Convolutional Neural Network (CNN), Human-Computer Interface, Mel Frequency Cepstral Coefficient (MFCC), Speech Recognition, Speech Synthesis

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References

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