Multi-Scale Feature Learning for Language Identification of Overlapped Speech

Multi-Scale Feature Learning for Language Identification of Overlapped Speech

Language identification is the front end of multilingual speech-processing tasks. The study aims to enhance the accuracy of language identification in complex acoustic environments by proposing a multi-scale feature extraction method. This method replaces the baseline feature extraction network with...

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Bibliographic Details
Main Authors: Zuhragvl Aysa, Mijit Ablimit, Askar Hamdulla
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
language identification
spectrogram
overlapped speech
CNN
CBAM
SE-Res2Net
Online Access:https://www.mdpi.com/2076-3417/13/7/4235

Internet

https://www.mdpi.com/2076-3417/13/7/4235

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