Convert audio files into spectrograms and feature panels for analysis.
npx skills add https://github.com/NJX-njx/opensoul --skill songsee-njx-njx
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/NJX-njx/opensoul/tree/main/skills/songsee Command: npx skills add https://github.com/NJX-njx/opensoul --skill songsee-njx-njx
This Skill enables users to generate detailed spectrograms and feature visualizations from audio files, simplifying audio analysis and interpretation.
Generate a spectrogram image from an audio file named 'track.mp3' using the command: 'songsee track.mp3'.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, you can process MP3 or WAV files directly using FFT and feature extraction techniques to produce visual spectrograms and feature panels for analysis.
Audio feature visualizations for signal processing include multi-panel displays such as mel, chroma, loudness, and MFCC feature panels, aiding detailed analysis and pattern identification in audio files.
Yes, you can analyze additional audio formats beyond MP3 and WAV for spectrogram generation if you utilize ffmpeg, which provides support for handling various extended audio file formats.
Audio visualization with spectrograms is applicable for music research, signal processing, and audio quality assessment, allowing users to visually inspect audio files to identify patterns or artifacts.
The best way to visually inspect a song for audio artifacts is by generating detailed spectrograms and multi-panel feature visualizations, which simplify audio analysis and interpretation by highlighting anomalies.
You need ffmpeg to extract audio features and generate visualizations only when processing formats other than MP3 and WAV, as these common formats are handled natively without requiring additional dependencies.
TitoPrauseeGenerate spectrogram and audio feature visualizations from audio files.
dkyazzentwatwaAnalyze audio tempo, key, loudness, and frequency with waveform and spectrogram visualizations.
syxscottGenerate spectrograms and feature-panel visualizations from audio files with the songsee CLI.
Quill-AgentGenerate spectrograms and mel-scaled spectrograms from audio files using Go.
