# alexkay/spek

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3,185 stars · 278 forks · C++ · gpl-3.0

## Links

- GitHub: https://github.com/alexkay/spek
- Homepage: http://spek.cc
- awesome-repositories: https://awesome-repositories.com/repository/alexkay-spek.md

## Description

Spek is an acoustic spectrum tool and audio frequency visualizer designed to decode audio streams and analyze their spectral density. It functions as an audio spectrogram analyzer that displays frequency distributions to help identify the sonic characteristics of audio files.

The tool specifically includes capabilities as a lossy compression detector, allowing for the identification of encoding artifacts and frequency cut-offs caused by lossy transcoding.

The software covers audio file inspection and spectral analysis, providing the ability to select individual audio streams and channels. Users can configure the analysis via adjustable window sizes and color palettes to tune the precision and appearance of the visualizations.

## Tags

### Graphics & Multimedia

- [Spectrogram Renderers](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing/audio-visualization-tools/spectrogram-renderers.md) — Generates frequency-based heat maps to analyze audio content over time as spectrograms. ([source](https://www.spek.cc/))
- [Sonic Characteristic Analysis](https://awesome-repositories.com/f/graphics-multimedia/audio-signal-fidelity-metrics/sonic-characteristic-analysis.md) — Analyzes audio signals to extract frequency and amplitude data for sonic characteristic visualization.
- [Audio Technical Inspection Tools](https://awesome-repositories.com/f/graphics-multimedia/audio-technical-inspection-tools.md) — Examines audio streams and channels to verify technical properties and recording quality.
- [Lossy Compression Detectors](https://awesome-repositories.com/f/graphics-multimedia/lossy-compression-detectors.md) — Identifies encoding artifacts and frequency cut-offs caused by lossy audio transcoding. ([source](https://www.spek.cc/p/spek-0-8-0-released))
- [Decoded Audio Sample Extractors](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/audio-analysis-synthesis/audio-feature-extraction/audio-track-extraction/decoded-audio-sample-extractors.md) — Uses FFmpeg to extract raw audio samples from files for frequency analysis.
- [Audio Frequency Heat Maps](https://awesome-repositories.com/f/graphics-multimedia/visualization-mapping/heat-map-generators/audio-frequency-heat-maps.md) — Visualizes the acoustic spectrum and frequency distributions of audio files via heat maps. ([source](https://cdn.jsdelivr.net/gh/alexkay/spek@master/README.md))
- [Spectrum Analyzers](https://awesome-repositories.com/f/graphics-multimedia/visualization-mapping/heat-map-generators/audio-frequency-heat-maps/spectrum-analyzers.md) — Provides a visual tool for analyzing audio frequencies and waveforms to identify sonic characteristics.
- [Audio Channel Selectors](https://awesome-repositories.com/f/graphics-multimedia/audio-channel-selectors.md) — Allows users to isolate and analyze individual audio channels or streams within a multi-track file.
- [Spectral Analysis](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/audio-analysis-synthesis/spectral-analysis.md) — Provides configuration options for transform window sizes and color palettes for spectrum rendering. ([source](https://cdn.jsdelivr.net/gh/alexkay/spek@master/README.md))

### Scientific & Mathematical Computing

- [Fourier Transforms](https://awesome-repositories.com/f/scientific-mathematical-computing/data-modeling-processing/signal-processing/fourier-transforms.md) — Converts time-domain audio samples into the frequency domain using windowed segments.

### Artificial Intelligence & ML

- [Spectral Resolution Adjustments](https://awesome-repositories.com/f/artificial-intelligence-ml/feature-extraction/window-based/spectral-resolution-adjustments.md) — Provides adjustable analysis window sizes to tune the precision of frequency resolution.