# Large-Scale Automatic Audiobook Creation

arXiv: https://arxiv.org/abs/2309.03926 · HTML: https://mlsanity.com/paper/2309.03926/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 8 references that are in the map.
- First posted on arXiv 7 Sep 2023.

## Builds on (most cited first, 6 of 6)

- [WaveNet: A Generative Model for Raw Audio](https://mlsanity.com/paper/1609.03499/) (2016)
- [Tacotron: Towards End-to-End Speech Synthesis](https://mlsanity.com/paper/1703.10135/) (2017)
- [AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios](https://mlsanity.com/paper/2204.00436/) (2022)
- [Conversational End-to-End TTS for Voice Agent](https://mlsanity.com/paper/2005.10438/) (2020)
- [Self-supervised Context-aware Style Representation for Expressive Speech Synthesis](https://mlsanity.com/paper/2206.12559/) (2022)
- [Flexible and Scalable Deep Learning with MMLSpark](https://mlsanity.com/paper/1804.04031/) (2018)

## Built on by (most cited first, 1 of 1)

- [A Multi-Agent AI Framework for Immersive Audiobook Production through Spatial Audio and Neural Narration](https://mlsanity.com/paper/2505.04885/) (2025)

## Abstract (arXiv)

An audiobook can dramatically improve a work of literature's accessibility and improve reader engagement. However, audiobooks can take hundreds of hours of human effort to create, edit, and publish. In this work, we present a system that can automatically generate high-quality audiobooks from online e-books. In particular, we leverage recent advances in neural text-to-speech to create and release thousands of human-quality, open-license audiobooks from the Project Gutenberg e-book collection. Our method can identify the proper subset of e-book content to read for a wide collection of diversely structured books and can operate on hundreds of books in parallel. Our system allows users to customize an audiobook's speaking speed and style, emotional intonation, and can even match a desired voice using a small amount of sample audio. This work contributed over five thousand open-license audiobooks and an interactive demo that allows users to quickly create their own customized audiobooks. To listen to the audiobook collection visit urlhttps://aka.ms/audiobook.