title: Large-Scale Automatic Audiobook Creation
summary: 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 https://aka.ms/audiobook.
paper_authors._id: 64fe7e8143c0a3819c6e6c22
paper_authors.name: Brendan Walsh
paper_authors.statusLastChangedAt: 2023-09-11T10:49:18.531Z
paper_authors._id: 64fe7e8143c0a3819c6e6c23
paper_authors.name: Mark Hamilton
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-09-11T10:49:38.768Z
paper_authors._id: 62dae3734398e21bf7f53443
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1658512237806-noauth.jpeg
paper_authors.fullname: Mark Hamilton
paper_authors.type: user
paper_authors.user: mhamilton723
paper_authors._id: 64fe7e8143c0a3819c6e6c24
paper_authors.name: Greg Newby
paper_authors._id: 64fe7e8143c0a3819c6e6c25
paper_authors.name: Xi Wang
paper_authors._id: 64fe7e8143c0a3819c6e6c26
paper_authors.name: Serena Ruan
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-09-11T10:50:19.300Z
paper_authors._id: 64d342d7bd61fedadf4cbf27
paper_authors.avatarUrl: /avatars/d7bf95c7ddef2721e2be777819330dd2.svg
paper_authors.fullname: Serena Ruan
paper_authors.type: user
paper_authors.user: serena-ruan
paper_authors._id: 64fe7e8143c0a3819c6e6c27
paper_authors.name: Sheng Zhao
paper_authors._id: 64fe7e8143c0a3819c6e6c28
paper_authors.name: Lei He
paper_authors._id: 64fe7e8143c0a3819c6e6c29
paper_authors.name: Shaofei Zhang
paper_authors._id: 64fe7e8143c0a3819c6e6c2a
paper_authors.name: Eric Dettinger
paper_authors._id: 64fe7e8143c0a3819c6e6c2b
paper_authors.name: William T. Freeman
paper_authors._id: 64fe7e8143c0a3819c6e6c2c
paper_authors.name: Markus Weimer
paper_title: Large-Scale Automatic Audiobook Creation
paper_summary: 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 https://aka.ms/audiobook.
paper_ai_summary: A system leverages neural text-to-speech to automatically generate high-quality, customizable audiobooks from e-books, significantly expanding access to literature.
paper_ai_keywords: neural text-to-speech