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Author:
Ravindu Pabasara Karunarathna
License:
MIT License
Copyright (c) 2026 Ravindu Pabasara Karunarathna
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and...
Summary:
Measure how efficiently neural audio codecs tokenize audio: token rate, bitrate, codebook utilization, and reconstruction quality across DAC, EnCodec, SNAC, and Mimi
Latest version:
0.1.0
Required dependencies:
numpy
Optional dependencies:
black
|
descript-audio-codec
|
flake8
|
librosa
|
mypy
|
pesq
|
pystoi
|
pytest
|
pytest-cov
|
snac
|
soundfile
|
torch
|
transformers
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