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Update README for 1.5

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Sid Rao 2024-03-03 18:31:32 -05:00 • committed by Jean-Marc Valin
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@ -39,6 +39,28 @@ Opus-tools can be found at:
or on the main Opus website: or on the main Opus website:
https://opus-codec.org/ https://opus-codec.org/
== Deep Learning and Opus ==
Lossy networks continue to be a challenge for real-time communications.
While the original implementation of Opus provides an excellent packet loss
concealment mechanism, the team has continued to advance the methodology used
to improve audio quality in challenge network environments.
In Opus 1.5, we added a deep learning based redundancy encoder that enhances
audio in lossy networks by embedding one second of recovery data in the padding
data of each packet. The underlying algorithm behind encoding and decoding the
recovery data is called the deep redundancy (DRED) algorithm. By leveraging
the padding data within the packet, Opus 1.5 is fully backward compatible with
prior revisions of Opus. Please see the README under the "dnn" subdirectory to
understand DRED.
DRED was developed by a team that Amazon Web Services initially sponsored,
who open-sourced the implementation as well as began the
standardization process at the IETF:
https://datatracker.ietf.org/doc/draft-ietf-mlcodec-opus-extension/
The license behind Opus or the intellectual property position of Opus does
not change with Opus 1.5.
== Compiling libopus == == Compiling libopus ==
To build from a distribution tarball, you only need to do the following: To build from a distribution tarball, you only need to do the following: