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Accessibility and Assistive Technology / Captions, Speech Transcription, and Deaf Communication Assistance

Deaf users struggle to understand speech tone and emphasis through traditional captions.

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

Deaf users struggle to understand speech tone and emphasis through traditional captions.

UIST '24Real-Time Word-Level Temporal Segmentation in Streaming Speech Recognition

Similar questions

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

DHH people cannot fully perceive sound details and emotional atmosphere in videos through existing captions.

CHI '25OnomaCap: Making Non-speech Sound Captions Accessible and Enjoyable through Onomatopoeic Sound Representation

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

Deaf and hard-of-hearing users struggle to access critical auditory information in VR and cannot participate equally in interaction.

CHI '25VRCaptions: Design Captions for DHH Users in Multiplayer Communication in VR

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

Deaf users struggle to perceive intensity and variation of emotions in videos from captions alone.

CHI '25Tactile Emotions: Multimodal Affective Captioning with Haptics Improves Narrative Engagement for d/Deaf and Hard-of-Hearing Viewers

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

Deaf students struggle with real-time communication and effective learning in classrooms.

CSCW '24Bridging Communication Gaps Using Augmented Reality: Designing a User Conversational Interface for Hearing Impaired Students

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

Deaf users struggle to obtain complete video content from YouTube captions lacking non-speech information.

CHI '24Unspoken Sound: Identifying Trends in Non-Speech Audio Captioning on YouTube

lightbulbPractical problemCaptions, Speech Transcription, and Deaf Communication Assistance

Deaf people struggle to keep up with live TV content because subtitles are imprecise and lag behind.

CHI '24How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge

Related papers

OnomaCap: Making Non-speech Sound Captions Accessible and Enjoyable through Onomatopoeic Sound Representation

JooYeong Kim, Jin-Hyuk Hong

VRCaptions: Design Captions for DHH Users in Multiplayer Communication in VR

Tianze Xie, Xuesong Zhang, Feiyu Huang

Tactile Emotions: Multimodal Affective Captioning with Haptics Improves Narrative Engagement for d/Deaf and Hard-of-Hearing Viewers

Caluã de Lacerda Pataca, Saad Hassan, Lloyd May

Unspoken Sound: Identifying Trends in Non-Speech Audio Captioning on YouTube

Lloyd May, Keita Ohshiro, Khang Dang

How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge

Mariana Arroyo Chavez, Molly Feanny, Matthew Seita

Visualization of Speech Prosody and Emotion in Captions: Accessibility for Deaf and Hard-of-Hearing Users

Caluã de Lacerda Pataca, Matthew P Watkins, Roshan L. Peiris

“Easier or Harder, Depending on Who the Hearing Person Is”: Codesigning Videoconferencing Tools for Small Groups with Mixed Hearing Status

Emma J McDonnell, Soo Hyun Moon, Lucy Jiang

Haptic-Captioning: Using Audio-Haptic Interfaces to Enhance Speaker Indication in Real Time Captions for Deaf and Hard-of-Hearing Viewers

Yiwen Wang, Ziming Li, Pratheep Kumar Chelladurai

Understanding and Enhancing the Role of Speechreading in Online d/DHH Communication Accessibility

Aashaka Desai, Jennifer Mankoff, Richard E. Ladner