https://github.com/nils-werner/stft

Spectrogram calculation for NumPy
https://github.com/nils-werner/stft

audio-analysis fft scipy signal-processing stft

Last synced: about 1 month ago
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Spectrogram calculation for NumPy

• Host: GitHub
• URL: https://github.com/nils-werner/stft
• Owner: nils-werner
• License: mit
• Created: 2014-04-24T15:43:59.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2024-12-22T15:46:58.000Z (4 months ago)
• Last Synced: 2025-03-02T13:09:02.379Z (about 2 months ago)
• Topics: audio-analysis, fft, scipy, signal-processing, stft
• Language: Python
• Homepage: http://stft.readthedocs.org/
• Size: 133 KB
• Stars: 45
• Watchers: 7
• Forks: 15
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
STFT

====

[![Build Status](https://travis-ci.org/nils-werner/stft.svg?branch=master)](https://travis-ci.org/nils-werner/stft)

[![Docs Status](https://readthedocs.org/projects/stft/badge/?version=latest)](https://stft.readthedocs.org/en/latest/)

This is a package for calculating the short time fourier transform (spectrogram) or any

other transform in a lapped and windowed fashion.

Installation

------------

You can install this library using `pip`:

    pip install stft

Usage

-----

Loading a file and calculating the spectrogram, its inverse and saving the

result.

    import stft

    import scipy.io.wavfile as wav

    fs, audio = wav.read('input.wav')

    specgram = stft.spectrogram(audio)

    output = stft.ispectrogram(specgram)

    wav.write('output.wav', fs, output)