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The Global Chinese Stuttering Association (GCSA) is a U.S. 501(c)(3) nonprofit organization dedicated to supporting the Chinese-speaking stuttering community worldwide.
We empower people who stutter through education, advocacy, and community connection.

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ISAD 2025

GCSA sincerely invites you to join our special event for International Stuttering Awareness Day (ISAD), which will take place this Saturday, October 25th, from 9:00–11:00 PM Beijing Time.

This year’s theme is:
✨ “A Diverse Stuttering Community — Meeting Challenges with Strengths” (Chinese: “多元口吃社群:以力量面对挑战”)

This is a global celebration for people who stutter, advocating for diversity and inclusion, and honoring the uniqueness and strength of every voice.
Official ISAD website: https://isad.live/

📅 Event Details

Date: Saturday, October 25, 2025 🕘 Time: 9:00–11:00 PM (Beijing Time) 📺 Format: Zoom interactive meeting + online livestream

Event Schedule

9:00 – 9:30 | Introduction to International Stuttering Research
👩‍🏫 Speaker: Bin Jia Sharing the latest global research findings and trends on stuttering — exploring how science contributes to understanding and acceptance.

9:30 – 9:50 | Introduction to ARTS (Avoidance Reduction Therapy for Stuttering)
👨‍🏫 Speaker: Rong Gong An overview of the core concepts of ARTS therapy, combined with clinical insights on how it helps people who stutter reduce avoidance and build confidence.

9:50 – 11:00 | A Diverse Stuttering Community: Meeting Challenges with Strengths
🗣 Hosts: Tracy and the team A themed discussion on diversity, inclusion, and connection. Participants from the “StammerTalk” WeChat group are invited to share popular discussion topics, personal experiences, and stories — exploring how understanding and strength help us face stuttering challenges together.

📡 Livestream Platforms

🎥 YouTube: https://youtube.com/live/fJ0FMD9Omjk?feature=share

📺 Bilibili: http://live.bilibili.com/26062202

This event aims to share new developments in global stuttering research and practice, promote the ideas of avoidance reduction and self-acceptance, foster communication and understanding within the Chinese-speaking stuttering community, and provide a safe, open, and supportive space for all people who stutter and their allies.

We look forward to your participation and sharing — let’s connect, discuss, and grow together! 💬✨

Global Chinese Stuttering Association Achieves 501(c)(3) Status

We are pleased to announce the successful establishment of the Global Chinese Stuttering Association (GCSA) and our approval as a 501(c)(3) nonprofit organization in the United States.

This milestone enables us to broaden programs, partnerships, and advocacy to better support Chinese people who stutter globally.

Thank you to all who contributed to this achievement. We look forward to continuing to serve and empower our worldwide community.

Research Paper Published: 'Our Collective Voices' - The Social and Technical Values of StammerTalk Dataset

We are excited to announce the publication of our research paper “Our Collective Voices: The Social and Technical Values of a Grassroots Chinese Stuttered Speech Dataset” at the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘25)! 🎉

A Collaborative Achievement

We are deeply grateful to our partners at AImpower.org for their incredible collaboration on this research. The first and second authors, Jingjin Li and Qisheng Li, are from AImpower, while the third and fourth authors, Rong Gong and Lezhi Wang, are from the StammerTalk community. This partnership exemplifies the power of community-driven research and inclusive AI development.

Key Findings

The research demonstrates how grassroots, community-led data efforts can expose and rectify fluency bias in speech AI systems while fostering self-advocacy and community-building. Our fine-tuned ASR models showed substantial improvements:

  • Mild stuttering: Error rate reduced from 16.34% to 5.8%
  • Moderate stuttering: Error rate dropped from 21.72% to 9.03%
  • Severe stuttering: Error rate decreased from 49.24% to 20.46%

The paper also reveals significant social challenges faced by people who stutter in China, including stigma, workplace discrimination, and limited professional support access.

Citation Information

For citations, please use:

ACM Format:

Jingjin Li, Qisheng Li, Rong Gong, Lezhi Wang, and Shaomei Wu. 2025. Our Collective Voices: The Social and Technical Values of a Grassroots Chinese Stuttered Speech Dataset. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT '25). Association for Computing Machinery, New York, NY, USA, 2768–2783. https://doi.org/10.1145/3715275.3732179

Access the Paper: https://dl.acm.org/doi/10.1145/3715275.3732179

This milestone demonstrates how community-led research can produce both technical innovation and meaningful social impact. Thank you to all participants, the StammerTalk community, and especially our collaborators at AImpower.org who helped bring this research to the world stage! 💪


This work was supported by NSF Award #2427710 and the Patrick J. McGovern Foundation.

StammerTalk Dataset Now Available on Hugging Face

We are thrilled to announce that the StammerTalk Mandarin Stuttered Speech Dataset is now publicly available on Hugging Face! 🎉

Dataset Overview

The StammerTalk dataset represents a significant milestone in stuttering research, containing 43 hours of spontaneous conversations and reading of voice commands by 64 Mandarin Chinese speakers who stutter. This comprehensive dataset includes both unscripted conversations and dictation of 200 voice commands, providing valuable resources for automatic speech recognition and stuttering event detection research.

Note: This publicly available dataset is a subset of the complete AS-70 dataset, as it includes only the data from participants who provided consent for public sharing. The full AS-70 dataset contains additional recordings that remain private due to differentiating consent agreements with participants.

A Heartfelt Thank You to AImpower.org

We extend our deepest gratitude to AImpower.org for their incredible partnership in making this dataset publicly available. Their dedication to advancing AI research for social good has been instrumental in bringing this resource to the global research community. The collaborative effort between StammerTalk and AImpower.org demonstrates the power of community-driven research initiatives.

What Makes This Dataset Special

  • Authentic voices: Speech data collected by StammerTalk volunteers who also stutter, creating a comfortable and understanding environment for participants
  • Comprehensive annotations: Verbatim transcriptions with five distinct stuttering event annotations embedded in markups
  • Community-driven: Created by the StammerTalk (口吃说) community at stammertalk.net
  • Research-ready: Professional transcription and annotation, reviewed by StammerTalk volunteers

Access the Dataset

The dataset is now available at: https://huggingface.co/datasets/AImpower/MandarinStutteredSpeech

This release marks an important step forward in making stuttering research more accessible and inclusive. We hope this dataset will enable researchers worldwide to develop better tools and technologies that support the stuttering community.

Thank you to all the participants who generously shared their voices, the StammerTalk volunteers who conducted the data collection, and AImpower.org for their unwavering support in making this dataset available to the world. Together, we’re building a more inclusive future for speech technology! 💪

Participation of Interspeech2024

Rong presented our dataset work “AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection” on Interspeech 2024 in Kos, Greece. He was very happy to meet our co-authors Shaomei Wu from AImpower and Hongfei Xue from ASLP lab of Northwestern Polytechnical University. It was a very nice experience, and we hope to see you guys soon!

Interspeech 2024 photo

AIShell-Stammertalk Mandarin Stuttered speech dataset open for request download

The dataset download request can be applied by clicking this link. For detailed information about the dataset, please visit the AIShell-Stammertalk dataset page.

AIShell-Stammertalk Mandarin stuttered speech dataset

Dataset paper published! For details please check our Projects page.