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Implements a browser-based audio authenticity analyzer that detects the TRUE quality of audio files using psychoacoustic spectral analysis. Uses the same scientifically proven principles as the original tcd CLI:
- ISO/IEC 11172-3:1993 - Coding of moving pictures and associated audio for
digital storage media at up to about 1.5 Mbit/s, Part 3: Audio (MPEG-1
Audio Layer III, "MP3").
- ISO/IEC 13818-7:2006 - Generic coding of moving pictures and associated
audio information, Part 7: Advanced Audio Coding (AAC).
- Zwicker, E. & Fastl, H. - *Psychoacoustics: Facts and Models*, Springer,
1999 (Fletcher-Munson equal-loudness contours).
- Lerch, A. - *An Introduction to Audio Content Analysis*, Wiley, 2012
(spectral features for audio forensics).
The web version runs entirely in the browser via the Web Audio API — no server-side processing, no file uploads, no FFmpeg dependency. It implements:
- Client-side audio decoding via Web Audio API (supports MP3, FLAC, WAV, AIFF, Ogg Vorbis, Opus, M4A/AAC, WMA, AC3, EAC3, MP2, ALAC, WavPack, APE, DSF, DFF)
- Full psychoacoustic analysis pipeline: Hann-windowed FFT (4096-point, 50% overlap), averaged power spectrum, cutoff detection, transition bandwidth (steepness), noise floor, spectral roughness (CoV), band ratio
- Transcode/upscale detection using the same two-layer verdict logic as tcd (primary: cutoff+steepness, secondary: roughness+band ratio)
- Confidence scoring (0-100%)
- Realtime FFT spectrum analyzer with playback, peak hold, and hold-max-cutoff
- BPM detection via autocorrelation of onset detection function
- Metadata tag parsing: ID3v1, ID3v2, FLAC Vorbis comments, APE tags
- Stereo mode detection (MP3: Joint Stereo, Dual Channel, etc.) and VBR/CBR detection
- Logarithmic power spectrum visualization with noise floor and cutoff markers
Always implement only what is scientifically provable. As it is possible to view on a spectrum analysis of the audio to see the hard cutoff introduced by compression algorithms as MP3, it is possible to tell if we have a 96k MP3 file that just was re-encoded as 320k, for example, or a 128k as 320k, or a 320k as FLAC, and so on. This tool should allow to spot exactly those re-encoded / transcoded files.