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Loic Librosa SNR audit
This manually gated dataset contains all 33 transcript chunks from
@loicsumforissuchaninterestingcharacter😅👌🏽#streetballbanter#footballfans_QRBjkUAn1mQ. The audio column contains the original 48 kHz mono 96 kbps
MP3 chunks and the text column contains the aligned transcript.
Full-source heuristic result
- SNR: 15.5324 dB
- Mean spectral flatness: 0.000013
- Noise floor: 0.1173024625
- Peak frame RMS: 0.7013385296
- Classified noisy: true
Calculation
Every source/chunk is independently decoded with librosa.load(path, sr=None).
The score exactly follows the requested heuristic: default-frame RMS, default
spectral flatness, 10th-percentile RMS as the noise floor, maximum RMS as the
peak, and 10*log10(peak^2/(floor^2+1e-10)). librosa_is_noisy is true when
SNR is below 20 dB or mean flatness is above 0.05.
This estimates dynamic range relative to quiet frames; it is not laboratory SNR against a known clean reference.
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