Generate spectrograms and extract audio features from command-line audio files.
npx skills add https://github.com/gztcode/my-skills --skill songsee-gztcode
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/gztcode/my-skills/tree/main/songsee Command: npx skills add https://github.com/gztcode/my-skills --skill songsee-gztcode
Manages complex audio analysis by converting audio files into various visualizations for in-depth analysis.
Generate a spectrogram from the audio file 'track.mp3' with the command 'songsee track.mp3'.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram for frequency analysis, pass an audio file like 'track.mp3' to the command-line interface. It processes the audio waveform into a visual representation, allowing you to analyze frequency content directly from your terminal.
MFCC extraction calculates Mel-frequency cepstral coefficients from audio files to represent the short-term power spectrum of sound. This feature extraction mechanism processes audio characteristics, making it highly suitable for music production and academic audio analysis tasks.
You optionally need ffmpeg installed to extract audio features and support additional file formats beyond standard inputs. While basic feature extraction may function without it, ffmpeg provides extended file compatibility for comprehensive audio analysis.
Yes, you can visualize multiple audio features in a single panel for music production. The tool generates multi-panel visualizations, displaying a grid of multiple graphs to provide a comprehensive view of the audio data and its extracted characteristics.
The best way to debug audio tracks using a command-line interface is by generating spectrograms and extracting features like MFCCs. This process converts audio files into visual representations, enabling sound engineers to pinpoint frequency issues and analyze waveforms effectively.
zhangdszqAutomate FFmpeg multimedia conversion, compression, and batch processing workflows.
ruiyangruiyiGenerate audio spectrograms and multi-feature visualizations from audio files.
lxh755818-botGenerate spectrograms and audio feature visualizations from audio files.
RheasilviaGenerate spectrograms and audio feature analyses from audio files via command line.
