Development of Accent Recognition Systems for Vietnamese Speech

Quang Tien Duong,Van Hai Do

2021 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)（2021）

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摘要

The aim of this paper is to present an accent corpus for Vietnamese speech. The corpus consists of 3,000 audio files collected from TV advertisements, shows, interviews and other sources. Subsequently, we create accent speech classification models to compare, analyze and evaluate the advantages and limitations of different approaches such as Random Forests [1], Convolutional Neural Networks [2], R...

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关键词

Analytical models,TV,Fourier transforms,Speech recognition,Convolutional neural networks,Task analysis,Speech processing

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