Exploration of Automatic Speech Recognition for Deaf and Hard of Hearing Students in Higher Education Classes
Author:
Affiliation:
1. Rochester Institute of Technology, Rochester, NY, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3308561.3353772
Reference23 articles.
1. Speech recognition in university classrooms
2. Automatic speech recognition and speech variability: A review
3. Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings
4. Word error rate improvement and complexity reduction in Automatic Speech Recognition by analyzing acoustic model uncertainty and confusion
5. Speaker-adaptive speech recognition using speaker diarization for improved transcription of large spoken archives
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2. Caption Royale: Exploring the Design Space of Affective Captions from the Perspective of Deaf and Hard-of-Hearing Individuals;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
3. “Caption It in an Accessible Way That Is Also Enjoyable”: Characterizing User-Driven Captioning Practices on TikTok;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
4. Towards Improving Real-Time Head-Worn Display Caption Mediated Conversations with Speaker Feedback for Hearing Conversation Partners;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-02
5. SeEar: Tailoring Real-time AR Caption Interfaces for Deaf and Hard-of-Hearing (DHH) Students in Specialized Educational Settings;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-02
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