LibriSpeech audio and reference transcripts:
Vassil Panayotov, Guoguo Chen, Daniel Povey and Sanjeev Khudanpur.
LibriSpeech: an ASR corpus based on public domain audio books (2015).
Source: https://www.openslr.org/12/
Distribution: https://huggingface.co/datasets/openslr/librispeech_asr
Licence: Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
Original FLAC bytes are unchanged. Noise-added WAV files are modifications
made by ToolGlance, using seeded synthetic white noise and uniform peak scaling.
No endorsement by the corpus authors is implied.

ToolGlance measured data and original chart, 2026-08-28: CC BY 4.0.
Cite https://toolglance.com/guides/best-ai-transcribe-audio-free with the date,
sample, settings and normalization limits. Preserve upstream attribution for
audio/reference text. Model outputs may contain transcription errors and source
text; no exclusive ownership of source text or automated outputs is claimed.

Model weights and third-party runtime libraries are NOT included in this kit.
Their own terms apply when downloaded:
https://huggingface.co/Systran/faster-whisper-tiny.en (model card: MIT)
https://huggingface.co/Systran/faster-whisper-base.en (model card: MIT)
https://github.com/SYSTRAN/faster-whisper/blob/v1.2.1/LICENSE (MIT)

Original reproduce.py wrapper:
MIT License
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