AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection
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AS-70's quality control team included one PWS member who reviewed the annotations.
“An exception to these efforts is AS-70, where the quality control team included one PWS member who reviewed the annotations.”
From Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter (2026) · cites this paper as [32]
AS-70 focused on Mandarin and its original annotations were still generated by non-PWS crowdworkers.
“However, AS-70 focused on Mandarin and the original annotations were still generated by non-PWS crowdworkers.”
From Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter (2026) · cites this paper as [32]
The five stuttering events used in Sep-28k represent the core disfluency types identified across prior work.
“We adopted the five stuttering events used in Sep-28k as our initial ontology, as these events represent the core disfluency types identified across prior work [32, 58, 63, 83].”
From Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter (2026) · cites this paper as [32]
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Batra, A., Narang, M., Sharma, N. K., & Das, P. K. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp49660.2025.10888349 · Cited by 8 · see citing works
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Self-citationImproving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores
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Self-citationTang, X., Li, J., & Wu, S. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790405 · Cited by 4 · see citing works
Self-citationLi, J., Li, Q., Gong, R., Wang, L., & Wu, S. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3715275.3732179 · Cited by 4 · see citing works
Self-citationLi, Q., & Wu, S. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3687014 · Cited by 4 · see citing works
Self-citationNie, J., Fan, Y., Zhao, M., Wan, R., Xuan, Z., Preindl, M., & Jiang, X. (2025) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/3715014.3722065 · Cited by 3 · see citing works
Cripping AI: Reimagining AI Through Lived Disability Experiences
Tang, X., Lin, T.-A., Li, J., & Wu, S. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3805689.3806744 · Cited by 2 · see citing works
Self-citationSpeech Signal Processing based Stuttering Classification and Clinical Studies
Narasinga, V., Khan, H. F. F., Motepalli, K. S. S., Mahesh, S., Abraham, A. K., & Vuppala, A. K. (2025) · Circuits Systems and Signal Processing · doi:10.1007/s00034-025-03264-w · Cited by 2 · see citing works
Findings of the 2024 Mandarin Stuttering Event Detection and Automatic Speech Recognition Challenge
Xue, H., Gong, R., Shao, M., Xu, X., Wang, L., Xie, L., Bu, H., Zhou, J., Qin, Y., Du, J. B., et al. (2024) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt61566.2024.10832208 · Cited by 2 · see citing works
Self-citationFGCL: Fine-Grained Contrastive Learning For Mandarin Stuttering Event Detection
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Xu, Q. (2025) · IEEE Access · doi:10.1109/access.2025.3642131 · Cited by 1 · see citing works
Enhanced ASR FOR Stuttering Speech: Combining Adversarial and Signal-Based Data Augmentation
Huang, S., Zhang, D., Deng, J., & Zheng, R. (2024) · IEEE Spoken Language Technology Workshop (SLT) · doi:10.1109/slt61566.2024.10832262
Multilingual Stutter Event Detection for English, German, and Mandarin Speech
Haas, F., & Bayerl, S. P. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-02548-7_17
Liang, Z., & Nakamura, S. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11463989
SAM-ASR: A Stutter-Aware Speech Recognition Framework
Huang, Y., Zhang, Y., Wu, H., Gao, S., & Zhang, H. (2026) · International Conference on Artificial Intelligence and Digital Services · doi:10.1145/3803686.3803697
Alnamazi, H., Alamri, S., & Alrammah, H. (2026) · Electronics · doi:10.3390/electronics15143008
Sultan, M. R., & Chaudry, B. (2026) · IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi69079.2026.00102
- Authors
- Gong, R., Xue, H., Wang, L., Xu, X., Li, Q., Xie, L., Bu, H., Wu, S., Zhou, J., Qin, Y., Zhang, B., Du, J., Bin, J., & Li, M.
- Venue
- Interspeech 2024
- Publisher
- ISCA
- Published
- 2024-09-01
- Pages
- 5098-5102
- ISSN
- 2308-457X (ISSN-L)
- OpenAlex
- W4402111964
- Cited by
- 16
- References
- 0
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 4
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- Interspeech (USB) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Social Sciences › Psychology › Clinical Psychology › Stuttering Research and Treatment
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- stuttered speech, Mandarin Chinese, speech dataset, speech recognition, speech disorders
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