Convert audio files into spectrograms, mel-spectrograms, and pitch class distributions.
npx skills add https://github.com/nyxoraAI/Nyxora --skill songsee-nyxoraai
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/nyxoraAI/Nyxora/tree/main/packages/core/playbooks/media/songsee Command: npx skills add https://github.com/nyxoraAI/Nyxora --skill songsee-nyxoraai
This Skill simplifies the analysis of audio files by providing spectrograms and other visualizations, making it easier to understand audio features.
To create a basic spectrogram of 'track.mp3', run 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, run the command `songsee track.mp3` in your command line. This visualizes the audio features of the file, making signal analysis quick and accessible for audio engineers.
A mel-spectrogram is a visual representation of audio frequencies scaled to human hearing. You need it for audio analysis to assess musical composition and pitch class distributions, simplifying complex audio signal evaluation.
You need Go installed to execute the audio visualization tool, while ffmpeg is an optional dependency required for additional format support. Both facilitate the conversion of audio files into visual representations.
Yes, you can use this spectrogram tool for musical composition analysis. It converts audio files into pitch class distributions and mel-scaled spectrograms, making it ideal for visual assessments of audio signals.
The best way to integrate audio signal visualization into a command line workflow is using a CLI tool that outputs spectrograms. This allows quick visual assessments of audio files alongside other signal processing tools.
Quill-AgentGenerate spectrograms and mel-scaled spectrograms from audio files using Go.
paxlabs-incGenerate spectrograms and audio feature charts from audio files via command line.
ragnarokhaaConvert audio files into spectrograms and mel-spectrograms using songsee CLI.
xjtulycExtract pitch, formants, intensity, spectrograms, and VOT from speech audio.
