Your explanation of how Spectro works and addresses the issue of fake lossless audio files is quite thorough and insightful. Here are some key points that stand out:
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Technical Approach:
- FFT Analysis: By analyzing the frequency spectrum using FFT, you can detect hard cutoffs in the high-frequency range.
- Cutoff Frequency Detection: The critical aspect of detecting whether a file has been transcoded from lossy formats is identifying if there's a sharp drop-off (cutoff) below 20 kHz.
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Verdict Logic:
- High Quality/Lossless: Files that extend naturally to the Nyquist limit are classified as high quality.
- Medium Verdict: For files with cutoffs between 16-20 kHz, a medium verdict is assigned due to ambiguity.
- Fake/Transcoded: Files with hard cutoffs below 16 kHz or declared bitrates ≤ 160kbps are flagged as fake.
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Edge Cases:
- Non-standard Sample Rates: Handling different sample rates (e.g., 32kHz) is crucial to avoid false negatives.
- Mastering Cutoffs: Some mastering
Read the full article at DEV Community
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