AC-Prof
https://github.com/kainam15/AC-Prof

Project origin and attribution
------------------------------
AC-Prof is part of the DOR project of the DISTINT group at Jinan University:
https://github.com/wingter562/DISTINT_open_data

The original project definition credits Dr. Wentai Wu (Jinan University),
with primary contribution by Dr. Shenghai Li (South China University of
Technology), and lists these contributors:
  Wentai Wu, JNU
  Shenghai Li, SCUT
  Qinan Wu, JNU
  Kaizhe Song, JNU
  Yukai Wang, JNU

The attribution above follows the original AC-Prof project definition.
This repository continues that project with the current Python package,
runtime profiles, measurement protocol, CLI and Textual interface. Source
history records the subsequent changes and contributors.
Project code is licensed under Apache-2.0; see LICENSE.

Bundled third-party material
---------------------------
assets/audio/librispeech-clean-test-en-30s/audio.wav is derived from
LibriSpeech, prepared by Vassil Panayotov with assistance from Daniel Povey.
Source: https://www.openslr.org/12
Mirror: https://huggingface.co/datasets/openslr/librispeech_asr
Dataset revision: 71cacbfb7e2354c4226d01e70d77d5fca3d04ba1
License: Creative Commons Attribution 4.0 International (CC-BY-4.0).
See licenses/CC-BY-4.0.txt and https://creativecommons.org/licenses/by/4.0/.

AC-Prof concatenated clean/test recordings 6930-75918-0001,
6930-75918-0002 and 6930-75918-0003, then retained the first 30 seconds as
16 kHz mono PCM16 WAV. It did not normalize, resample, apply gain or trim
silence. The source identities, hashes and transformation details are in
assets/audio/librispeech-clean-test-en-30s/source.json.
The audio retains CC-BY-4.0 and is not relicensed under Apache-2.0.

Downloaded model code, weights, external datasets and separately installed
dependencies retain their respective licenses. Their inclusion or use does
not imply endorsement by their authors or by the original project team.
