https://arxiv.org/abs/2202.10631 Skip to main content Cornell University In just 5 minutes help us improve arXiv: Annual Global Survey We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate arxiv logo > cs > arXiv:2202.10631 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Human-Computer Interaction arXiv:2202.10631 (cs) [Submitted on 22 Feb 2022] Title:Hidden bawls, whispers, and yelps: can text be made to sound more than just its words? Authors:Calua de Lacerda Pataca, Paula Dornhofer Paro Costa View a PDF of the paper titled Hidden bawls, whispers, and yelps: can text be made to sound more than just its words?, by Calu\~a de Lacerda Pataca and Paula Dornhofer Paro Costa View PDF Abstract:Whether a word was bawled, whispered, or yelped, captions will typically represent it in the same way. If they are your only way to access what is being said, subjective nuances expressed in the voice will be lost. Since so much of communication is carried by these nuances, we posit that if captions are to be used as an accurate representation of speech, embedding visual representations of paralinguistic qualities into captions could help readers use them to better understand speech beyond its mere textual content. This paper presents a model for processing vocal prosody (its loudness, pitch, and duration) and mapping it into visual dimensions of typography (respectively, font-weight, baseline shift, and letter-spacing), creating a visual representation of these lost vocal subtleties that can be embedded directly into the typographical form of text. An evaluation was carried out where participants were exposed to this speech-modulated typography and asked to match it to its originating audio, presented between similar alternatives. Participants (n=117) were able to correctly identify the original audios with an average accuracy of 65%, with no significant difference when showing them modulations as animated or static text. Additionally, participants' comments showed their mental models of speech-modulated typography varied widely. Comments: 10 pages, 7 figures. This work has been submitted to the IEEE for possible publication Subjects: Human-Computer Interaction (cs.HC); Sound (cs.SD); Audio and Speech Processing (eess.AS) Cite as: arXiv:2202.10631 [cs.HC] (or arXiv:2202.10631v1 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2202.10631 Focus to learn more arXiv-issued DOI via DataCite Journal reference: IEEE Trans. Affect. Comput. 14 (2023) 6-16 https://doi.org/10.1109/TAFFC.2022.3174721 Related DOI: Focus to learn more DOI(s) linking to related resources Submission history From: Calua De Lacerda Pataca [view email] [v1] Tue, 22 Feb 2022 02:35:25 UTC (1,948 KB) Full-text links: Access Paper: View a PDF of the paper titled Hidden bawls, whispers, and yelps: can text be made to sound more than just its words?, by Calu\~a de Lacerda Pataca and Paula Dornhofer Paro Costa * View PDF * TeX Source view license Current browse context: cs.HC < prev | next > new | recent | 2022-02 Change to browse by: cs cs.SD eess eess.AS References & Citations * NASA ADS * Google Scholar * Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Reddit logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) 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