Language Accent Detection with CNN Using Sparse Data from a Crowd-Sourced Speech Archive

The problem of accent recognition has received a lot of attention with the development of Automatic Speech Recognition (ASR) systems. The crux of the problem is that conventional acoustic language models adapted to fit standard language corpora are unable to satisfy the recognition requirements for...

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書誌詳細

出版年:	Mathematics
主要な著者:	Veranika Mikhailava, Mariia Lesnichaia, Natalia Bogach, Iurii Lezhenin, John Blake, Evgeny Pyshkin
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-08-01
主題:	NLP automatic accent identification convolutional neural networks (CNN) Mel-frequency cepstral coefficients (MFCC) amplitude mel-spectrogram crowd-sourced data collection
オンライン･アクセス:	https://www.mdpi.com/2227-7390/10/16/2913