Search Results for "e-learning"

LAME is an educational tool to be used for learning about MP3 encoding. The goal of the LAME project is to improve the psycho acoustics, quality and speed of MP3 encoding. Note: we provide source code only!

audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training, and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc.

This parsing tool can be used to extract sections of a Behringer X32 or Midas M32 scene file in order to create specialized snippets.

The X-Air/M-Air does not include snippets (like the X32), This parsing tool is a port of the X32 Scene Parser that can be used to create modified scene files which can function like snippets.

...It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying heuristic error error checkers, mining metadata and analyzing metadata.

Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas

CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.

This software is a music tutor: it helps you learning to play an instrument. It guesses the score you are playing, and measures your precision at the task, thus allowing you to improve. It also lets people playing in versus mode.

Mixing Bhatkhande rules with Traditional and Learning based software techniques to classify of existing as well as predicting new North Indian (Hindustani) Classical Music raaga\'s (raga\'s)