Individual-independent and cross-language detection of speech disfluencies in stuttering based on multi-adversarial tasks and self-training
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Ground-truth or annotation-based verification was reported in a single study, where salient temporal regions identified by the explainability method were compared against reference labels provided by nonclinical annotators.
“Ground-truth or annotation-based verification was reported in a single study [49], where salient temporal regions identified by the explainability method were compared against reference labels provided by nonclinical annotators.”
From Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review (2026) · cites this paper as [49]
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Remya, M. S., Raghu Raman, R., Sankaran, R., Namboodiri, V., & Nedungadi, P. (2025) · IEEE Access · doi:10.1109/access.2025.3620114 · Cited by 12 · see citing works
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Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review
Ebraheem, M., Toghranegar, J., Bridge2AI-Voice Consortium, Bensoussan, Y., & Templeton, J. M. (2026) · Journal of Medical Internet Research · doi:10.2196/83790
Nair, M. R., & Kannan, K. S. (2026) · International Journal of Artificial Intelligence and Machine Learning · doi:10.51483/ijaiml.6.6s.2026.1104-1114
- Authors
- Shen, J., & Zhang, X.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Zhang, Xueshuai
- ORCID
- Zhang, Xueshuai
- Venue
- Biomedical Signal Processing and Control
- Publisher
- Elsevier BV
- Published
- 2025-02
- Volume
- 100
- Pages
- 107051
- ISSN
- 1746-8094 (ISSN-L)
- OpenAlex
- W4403525704
- Cited by
- 2
- References
- 51
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Biomedical Signal Processing and Control (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Stuttering Research and Treatment
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Keywords
- stuttering, cross-language transfer, adversarial training, self-training, pseudo-labeling, Grad-CAM, wav2vec 2.0, speaker classification, language classification, German speech, English speech
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