This is a machine learning approach of automatic identifying music that is normally related to a perticular activity
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Updated
Mar 25, 2017 - Python
This is a machine learning approach of automatic identifying music that is normally related to a perticular activity
Depression Detection from Speech
https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.
Bengali Speech Recognition
Audio fingerprinting and recognition in Python
Audio analysis tool built with pyo and wxPython.
TensorFlow implementation of "SoundNet".
Depression detection detection using text and audio, dry eye test and emoticons module has been added to already existing github library of JARVIS.
Package for automatic beat-mixing of music files in Python 🐻🎚
A convolutional neural network trained to recognize good* electronic music
Using machine learning for the study of music.
This python project implements a first approach of an audio coder based on the DFT. Sub-band Coding based on FFT
Visualize audio in the time, frequency, and time-frequency domains
Music genre classification model using CRNN
Tool for pushing audio samples through sliced FFT into polyphonic MIDI
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