xcodec

AAAI 2025: Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model

Not yet testedsource: GitHubPythonMITcommit 4a737f2ee2cd

Python, MIT licensed. The project labels itself: audio, audio codec, codec, gpt, language model, music, self supervised learning and semantic.

xcodec has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
315
forks
25
open issues
18
watchers
7
size
2 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

audioaudio-codeccodecgptlanguage-modelmusicself-supervised-learningsemanticsoundspeechspeech-language-modeltext-to-musictext-to-soundtext-to-speechtokenizervall-e

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[![Tested by Argusic](https://argusic.com/badge/xcodec.svg)](https://argusic.com/subject/xcodec)

Questions

Does xcodec run?
xcodec has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test xcodec?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for xcodec?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

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