Exploring the Impact of Emotional Voice Integration in Sign-to-Speech Translators for Deaf-to-Hearing Communication

Emotional voice communication plays a crucial role in effective daily interactions. Deaf and Hard of Hearing (DHH) individuals, who often have limited use of voice, rely on facial expressions to supplement sign language and convey emotions. However, in American Sign Language (ASL), facial expressions serve not only emotional purposes but also function as linguistic markers that can alter the meaning of signs. This dual role can often confuse non-signers when interpreting a signer's emotional state. In this paper, we present studies that: (1) confirm the challenges non-signers face when interpreting emotions from facial expressions in ASL communication, and (2) demonstrate how integrating emotional voice into translation systems can enhance hearing individuals' understanding of a signer's emotional intent. An online survey with 45 hearing participants (non-ASL signers) revealed frequent misinterpretations of signers' emotions when emotional and linguistic facial expressions were used simultaneously. The findings show that incorporating emotional voice into translation systems significantly improves emotion recognition by 32%. Additionally, follow-up survey with 48 DHH participants highlights design considerations for implementing emotional voice features, emphasizing the importance of emotional voice integration to bridge communication gaps between DHH and hearing communities.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757597
Citations
1
Primary Topic
Hearing Impairment and Communication
Type
article
Field-Weighted Citation Impact
3.44
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Exploring the Impact of Emotional Voice Integration in Sign-to-Speech Translators for Deaf-to-Hearing Communication

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1 citations
Proceedings of the ACM on Human-Computer Interaction
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article

Exploring the Impact of Emotional Voice Integration in Sign-to-Speech Translators for Deaf-to-Hearing Communication

Hyunchul Lim, Nguyet Dang, Minghan Gao, Franklin Mingzhe Li, Michelle L. Olson, Cheng Zhang, Ianip Sit
article en
1 citations

Abstract

Emotional voice communication plays a crucial role in effective daily interactions. Deaf and Hard of Hearing (DHH) individuals, who often have limited use of voice, rely on facial expressions to supplement sign language and convey emotions. However, in American Sign Language (ASL), facial expressions serve not only emotional purposes but also function as linguistic markers that can alter the meaning of signs. This dual role can often confuse non-signers when interpreting a signer's emotional state. In this paper, we present studies that: (1) confirm the challenges non-signers face when interpreting emotions from facial expressions in ASL communication, and (2) demonstrate how integrating emotional voice into translation systems can enhance hearing individuals' understanding of a signer's emotional intent. An online survey with 45 hearing participants (non-ASL signers) revealed frequent misinterpretations of signers' emotions when emotional and linguistic facial expressions were used simultaneously. The findings show that incorporating emotional voice into translation systems significantly improves emotion recognition by 32%. Additionally, follow-up survey with 48 DHH participants highlights design considerations for implementing emotional voice features, emphasizing the importance of emotional voice integration to bridge communication gaps between DHH and hearing communities.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
Rochester Institute of Technology (US), Cornell University (US), Carnegie Mellon University (US)
Openalex Percentile: Top 7%
Hearing Impairment and Communication
3.44
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