Search Results for "extraction"

...Command line support for generating sine, square, triangle and sawtooth wave files. Uses biquad IIR digital filters for frequency detection, plus digital lowpass filters for output extraction. Highly configurable. 60+ FPS with suitable hardware. Manual or automatic gain control.

... - A scientifically validated method for automatically detecting sound segments in speech. - Manipulation of raw audio data. - Audio mixing capabilities. - Automated computation of statistical descriptors for audio data. - Channel extraction. - Channel mixing. AudiooPy is entirely self-contained and does not rely on any external libraries. <https://img.shields.io/pypi/v/AudiooPy>

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.

jAudio is a project implementing a number of common feature extraction algorithms for analyzing audio in java. Output is either in Weka's ARFF format or the ACE format. Can be used either as a GUI application, command-line application, or embedded. The primary repository is on github (dmcennis) which pushes to this projects github repository.

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.

Pumilio is a web-based sound analysis and archive system for almost any kind of sound file with tools to see the spectrogram of the sound, select regions for further analysis and insertion in a database, filtering, and many other manipulations.

Real-time audio feature extraction and similarity matching in C++. PD and Max/MSP support via FLEXT.

Sonic Visualiser is an application for inspecting and analysing the contents of music audio files. It combines powerful waveform and spectral visualisation tools with automated feature extraction plugins and annotation capabilities.

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 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.

libxtract is a simple, portable, lightweight library of audio feature extraction functions.

OMEN (On-demand Metadata Extraction Network) is a tomcat based system that allows external users (music information researchers) to request from participating libraries the extraction of features from music archives without violating copyright.

Easy-to-use platform-independent plugin API for the extraction of low-level features from audio data in PCM format, as required in the context of music information retrieval software.

Segfried is an audio feature extraction and segmentation utility

Java framework based on jAudio feature extraction algorithms, but lightweight and easy for use. Support mp3, wav, aiff, aifc, au and snd files. Can extract 28 features.

SOMba is a Qt based program that allows multiple dancers to create a collaborative sonic space, using audio clips organized by a Self-Organizing Map. It uses the Marsyas framework for audio feature extraction and playback.