From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition-Reference-Cited by-同舟云学术

From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Lea Colin¹^ORCID,Huang Zifang¹^ORCID,Narain Jaya¹^ORCID,Tooley Lauren¹^ORCID,Yee Dianna¹^ORCID,Tran Dung Tien²^ORCID,Georgiou Panayiotis¹^ORCID,Bigham Jeffrey P³^ORCID,Findlater Leah⁴^ORCID

Affiliation:

1. Apple, United States

2. Apple Inc, United States

3. Apple, United States and Human-Computer Interaction Institute, Carnegie Mellon University, United States

4. Apple, United States and Human Centered Design and Engineering, University of Washington, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3581224

Reference72 articles.

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3. Automatic recognition of children's read speech for stuttering application

4. Music, Search, and IoT

5. Raviteja Anantha , Srinivas Chappidi , and Arash W Dawoodi . 2020. Learning to Rank Intents in Voice Assistants . In Conversational Dialogue Systems for the Next Decade . Springer Singapore , Singapore , 87–101. Raviteja Anantha, Srinivas Chappidi, and Arash W Dawoodi. 2020. Learning to Rank Intents in Voice Assistants. In Conversational Dialogue Systems for the Next Decade. Springer Singapore, Singapore, 87–101.