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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Bibliografische Detailangaben

Hauptverfasser:	Veranika Mikhailava, Mariia Lesnichaia, Natalia Bogach, Iurii Lezhenin, John Blake, Evgeny Pyshkin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-08-01
Schriftenreihe:	Mathematics
Schlagworte:	NLP automatic accent identification convolutional neural networks (CNN) Mel-frequency cepstral coefficients (MFCC) amplitude mel-spectrogram crowd-sourced data collection
Online-Zugang:	https://www.mdpi.com/2227-7390/10/16/2913
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