Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies
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Updated
May 7, 2017 - HTML
Classifying English Music (.mp3) files using Music Information Retrieval (MIR), Digital/Audio Signal Processing (DIP) and Machine Learning (ML) Strategies
Digital Signal Processing mini project: Autotune
Music Synthesis with Python talk, originally given at PyGotham 2017.
Breaks a song into frames, extracts relevant features and predicts the mood of each frame individually.
this repository contains end to end python script to train speech data provided by google, evaluate testing data, and submite to competition
2nd Runner-Up @MumbaiHackathon 2017
Data Transmission Between two devices using Sound
Using machine learning for the study of music.
SD 207: Statistical Machine Learning in practice
Collection of scripts that support the setup and execution process of the Reactive Jukebox project
A baby monitor that tracks crying
Create a Deep Learning model to classify very short speech commands
Project in several phases to ultimately built an app that translate from human to cats and cats to human using deep learning algorithm
Music genre classification model using CRNN
Exploring the viability of machine learning to aid categorisation of audio to accompany TV adverts
Bird's tweet classification with Deep Learning
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