Real-Time End-to-End Speech Emotion Recognition with Cross-Domain Adaptation

Real-Time End-to-End Speech Emotion Recognition with Cross-Domain Adaptation

Language resources are the main factor in speech-emotion-recognition (SER)-based deep learning models. Thai is a low-resource language that has a smaller data size than high-resource languages such as German. This paper describes the framework of using a pretrained-model-based front-end and back-end...

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Bibliographic Details
Main Authors: Konlakorn Wongpatikaseree, Sattaya Singkul, Narit Hnoohom, Sumeth Yuenyong
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Big Data and Cognitive Computing
Subjects:
speech emotion recognition
cross-domain adaption
Wav2Vec2
XLSR
vocal tract length perturbation augmentation
embedded analysis
Online Access:https://www.mdpi.com/2504-2289/6/3/79

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https://www.mdpi.com/2504-2289/6/3/79

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