Abstract
Many authors consider typography as what language looks like. Over time, designers explored connections between type design and sound, trying to bridge the gap between the two areas. This paper describes SpeechTyper, an ongoing system that generates typographic compositions based on speech. Our goal is to create typographic representations that convey aspects of oral communication expressively. The system takes a pre-processed analysis of speech recordings and uses it to affect the glyph design of the recited words. The glyphs’ structure is generated using a system we developed previously that extracts skeletons from existing typefaces.
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Change history
15 April 2022
In an older version of this paper, there was an error in reference no. 18: the names of the cited paper were incorrectly published. This has been corrected.
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Acknowledgements
This work is partially funded by national funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project CISUC - UID/CEC/00326/2020 and by European Social Fund, through the Regional Operational Program Centro 2020, and under the grant SFRH/BD/148706/2019.
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Parente, J., Martins, T., Bicker, J., Machado, P. (2022). SpeechTyper: From Speech to Typographic Composition. In: Martins, T., Rodríguez-Fernández, N., Rebelo, S.M. (eds) Artificial Intelligence in Music, Sound, Art and Design. EvoMUSART 2022. Lecture Notes in Computer Science, vol 13221. Springer, Cham. https://doi.org/10.1007/978-3-031-03789-4_14
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DOI: https://doi.org/10.1007/978-3-031-03789-4_14
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