Stuttering Detection Using Atrous Convolutional Neural Networks
Author:
Affiliation:
1. Loughborough University,Department of Computer Science
2. Keele University,School of Computing
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9810981/9811103/09811183.pdf?arnumber=9811183
Reference24 articles.
1. StutterNet: Stuttering Detection Using Time Delay Neural Network
2. Gaussian Mixture Model Based Classification of Stuttering Dysfluencies
3. Application of Malay speech technology in Malay Speech Therapy Assistance Tools
4. FluentNet: End-to-End Detection of Stuttered Speech Disfluencies With Deep Learning
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1. A novel attention model across heterogeneous features for stuttering event detection;Expert Systems with Applications;2024-06
2. A CNN-based Stutter Detection Using MFCC Features with Binary Cross-Entropy Loss Function;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15
3. The Impact of Stuttering Event Representation on Detection Performance;2024 2nd International Conference on Cyber Resilience (ICCR);2024-02-26
4. StutterNet: Stuttering Disfluencies Detection in Synthetic Speech Signals via Mel Frequency Cepstral Coefficients Features Using Deep Learning;IEEE Access;2024
5. Computational Intelligence-Based Stuttering Detection: A Systematic Review;Diagnostics;2023-11-27
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