A novel attention model across heterogeneous features for stuttering event detection

Stuttering is a prevalent speech disorder affecting millions worldwide. To provide an automatic and objective stuttering assessment tool, Stuttering Event Detection (SED) is under extensive investigation for advanced speech research and applications. Despite significant progress achieved by various...

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Bibliographic Details

Main Authors:	Abedal-karim Al-Banna, Hui Fang, Eran Edirisinghe
Format:	Default Article
Published:	2023
Subjects:	Engineering Information and computing sciences Mathematical sciences Stuttering Stuttering events detection Multi-feature attention model Stuttering severity systems Dysfluency Deep learning
Online Access:	https://hdl.handle.net/2134/24800511.v1
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