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

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

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article

TonePick: An AI-Based Personalized Audiobook Application Using Voice Cloning and Real-Time TTS

S.C. Kim, J. S. Park, Shinmyung Ahn, Jinyoung Kim et al.
International Journal of Computer Science and Mobile Computing
Music and Audio Processing
article

TonePick: An AI-Based Personalized Audiobook Application Using Voice Cloning and Real-Time TTS

S.C. Kim, J. S. Park, Shinmyung Ahn, Jinyoung Kim, Seungjae Lee
article en

Abstract

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.

International Journal of Computer Science and Mobile ComputingVol. 14(9)
Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 67%
Music and Audio Processing
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