TonePick: An AI-Based Personalized Audiobook Application Using Voice Cloning and Real-Time TTS
This paper presents TonePick, a mobile application that enables the generation of personalized audiobooks by leveraging voice cloning and real-time Text-to-Speech (TTS) synthesis. The system allows users to create a custom AI voice model using short speech samples and applies it to read PDF documents with emotional expressiveness. Built with React Native, Firebase, and the ElevenLabs API, the architecture supports scalable deployment and seamless client-server interaction. A user study involving 27 participants demonstrated high levels of satisfaction across usability, naturalness, and emotional engagement, confirming the system’s effectiveness and applicability. The proposed approach highlights the potential of voice cloning as a socially impactful extension of TTS technology.
Authors
- S.C. Kim
- J. S. Park
- Shinmyung Ahn
- Jinyoung Kim (ORCID: https://orcid.org/0000-0003-4448-0862)
- Seungjae Lee (ORCID: https://orcid.org/0000-0002-7798-7347)
Publication Details
- Journal
- International Journal of Computer Science and Mobile Computing
- Published
- 2025-09-29
- DOI
- https://doi.org/10.47760/ijcsmc.2025.v14i09.003
- Primary Topic
- Music and Audio Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion