Search Results for "matlab to python conversion"

The Sound Description Interchange Format (SDIF) is an established standard for the interchange of sound descriptions and analysis data. This project provides libraries, SDIF (in C) and Easdif (in C++), tools, and wrappers to read and write SDIF files.

This repository is a voice activity detection (VAD) toolkit that implements multiple models (DNN, bDNN, LSTM, ACAM) for detecting speech versus non-speech in audio. It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. The toolkit supports both MATLAB and Python/TensorFlow components (for feature extraction, classification, postprocessing).

OpenDAFF is a free, open-source software package for directional audio data - like the directivity of microphones, speakers, as well as head-related transfer functions (HRTFs)

Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.

This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.

Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all...

Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.