Large-Scale Automatic Audiobook Creation
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.
64fe7e8143c0a3819c6e6c22
Brendan Walsh
2023-09-11T10:49:18.531Z
64fe7e8143c0a3819c6e6c23
Mark Hamilton
admin_assigned
2023-09-11T10:49:38.768Z
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Mark Hamilton
user
mhamilton723
64fe7e8143c0a3819c6e6c24
Greg Newby
64fe7e8143c0a3819c6e6c25
Xi Wang
64fe7e8143c0a3819c6e6c26
Serena Ruan
admin_assigned
2023-09-11T10:50:19.300Z
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Serena Ruan
user
serena-ruan
64fe7e8143c0a3819c6e6c27
Sheng Zhao
64fe7e8143c0a3819c6e6c28
Lei He
64fe7e8143c0a3819c6e6c29
Shaofei Zhang
64fe7e8143c0a3819c6e6c2a
Eric Dettinger
64fe7e8143c0a3819c6e6c2b
William T. Freeman
64fe7e8143c0a3819c6e6c2c
Markus Weimer
Large-Scale Automatic Audiobook Creation
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.
A system leverages neural text-to-speech to automatically generate high-quality, customizable audiobooks from e-books, significantly expanding access to literature.
neural text-to-speech