Voice Modulation in Audiobook Narration
In today’s world, most audiobooks lack emotional depth, which hinders listeners from enjoying the story. This study delves into voice modulation techniques based on emotion as a means to improve audiobook narration by using machine learning algorithms along with text-to-speech (TTS) technology, thereby enhancing the overall storytelling experience. This study hopes to contribute to the intricate interplay between voice modulation techniques and audience perception, paving the way for further research and refinement in audiobook narration.
Authors
- V Kalpathy Subramanian
- K. Srinivas (ORCID: https://orcid.org/0009-0007-7065-1166)
- Agnel Elizabeth
- Dhriti Rajesh Krishnan
- V. Sridhar
- S Hari
- Vismaya Vadana
Institutions
- PES University (IN)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/iscmi63661.2024.10851662
- Citations
- 1
- Primary Topic
- Subtitles and Audiovisual Media
- Type
- article
- Field-Weighted Citation Impact
- 2.78