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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Autori principali:	Veranika Mikhailava, Mariia Lesnichaia, Natalia Bogach, Iurii Lezhenin, John Blake, Evgeny Pyshkin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-08-01
Serie:	Mathematics
Soggetti:	NLP automatic accent identification convolutional neural networks (CNN) Mel-frequency cepstral coefficients (MFCC) amplitude mel-spectrogram crowd-sourced data collection
Accesso online:	https://www.mdpi.com/2227-7390/10/16/2913
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