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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2. Sadeen Alharbi , Madina Hasan , Anthony JH Simons , Shelagh Brumfitt , and Phil Green . 2018. A lightly supervised approach to detect stuttering in children’s speech . In Interspeech 2018 . ISCA , 3433–3437. Sadeen Alharbi, Madina Hasan, Anthony JH Simons, Shelagh Brumfitt, and Phil Green. 2018. A lightly supervised approach to detect stuttering in children’s speech. In Interspeech 2018. ISCA, 3433–3437.

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.

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