This tool transforms wav files into spectrograms. Either as a PNG or as a json for further use in tensorflow.
git clone https://github.com/360disrupt/nodejs-spectrogram.git && cd nodejs-spectrogram- Rename
.env.example, change the default config to your demands and put the audio files to convert into theAUDIO_INfolder. npm run dev(Maybe adjust ram settings in the package.json)
You need to follow the instructions of the package canvas to draw spectrograms.
- AUDIO_IN_FOLDER: {string} the folder to look for audio files
- WATCH: {boolean}, watch the audio in folder for new files
- OUT_FOLDER_JSON: {string} the folder for the json spectrogram
- OUT_FOLDER_DRAW: {string} the folder for the png spectrogram
- GENERATE: {boolean}, use a dummy sine wav (for testing purposes)
- DRAW: {boolean} create a png
- SEND: {boolean} send spectrograms via http
- SEND_URL: {string} url to send spectrograms to
- RESOLUTION: {number, root of 2} how many samples are in one sequence
- CROP: {boolean} crop files to the smallest file to have the same sequence length
- CROP_MAX: {number} crop files to a max of sequences
- DEBUG: {string} show debug logs
Let me know if you need this as an NPM package. I can convert it and make the process envs to an options object.
About fft/spectrometer in python https://www.oreilly.com/library/view/elegant-scipy/9781491922927/ch04.html
Digital signal processing https://dsp.stackexchange.com/
MIT, see license file