Open Source MATLAB Multimedia Software - Page 3

MATAA (Mat's Audio Analyzer) is a flexible and versatile audio analysis system based on Matlab or GNU Octave. MATAA was removed from SourceForge. Please visit https://github.com/mbrennwa/mataa for further information.

This is a speech project make by NTHU MIRLab, Taiwan.

MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.

Malimpa stands for MAtlab Library for IMage Processing and Analysis. It provides functions for 2D/3D grascale/color image creation, filtering, or measurement. It requires, and complements Matlab Image Processing Toolbox. Important notice: the project is now hosted in GitHub, https://github.com/dlegland/matImage

Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats.

A set of Matlab toolboxes to perform signal and image processing.

A bunch of functions for doing Mushra tests in Matlab.

Matlab Toolbox to process video files, which consists on a set of classes for reading, writing, correcting light changes and generating gaussian pyramids in real time. This toolbox is designed for Windows x64, Max OS X x64 and Linux x64. Through to use of Ffmpeg, it can reproduce and create videos very fast and also do no require to load the entire video file in memory. In addition the C++ code is already compiled in order to simplify the toolbox installation. In order to stay tuned for updates, you can follow the Matlab VideoUtils on Twitter (@VideoUtils): https://twitter.com/#!/VideoUtils If anyone is interested in collaborate, please contact to me -> https://sourceforge.net/sendmessage.php?touser=3811831

The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation. However, within Matlab, most of image manipulation functions are limited or tailored for processing two-dimensional matrix. The MatrixUser is a software package which features functions designed and optimized specifically for manipulating multidimensional real or complex data matrix. MatrixUser provides a nice graphical environment for easily performing image analysis tasks including multidimensional image display, matrix (image stack) processing and rendering etc. MatrixUser is a great lightweight tool for users who are working in image processing field under Matlab.

Land Mines detection using Image Processing

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

This is a software library for measuring acoustic property with your sound card. It allows users to measure acoustic property without any expensive devices. This is useful for all acoustic engineers/resarchers/students.

This is a program written in matlab to grade exams using Optical Mark Recognition. Samples of OMR sheets that are to be filled by students is also included. It supports rotation of up to 6 degrees as well as 180 degree rotation.

Overhead Imagery Research Data Set (OIRDS) - an annotated data library & tools to aid in the development of computer vision algorithms

PMoz is a simple photomosaic generation code written in Matlab. It uses Directed Random Search and variant of the same (!!!!) to generate awesome photomosaic animations

This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry.

PsySoundPro - audio file analysis for objective psychoacoustics measures. Includes measures like Virtual Pitch, Loudness, Etc. etc.

Reconstruction and Visualization from Multiple Sections (ReViMS), an open-source, user-friendly software for automatically estimating volume and several other features of 3D multicellular aggregates (i.e., cancer spheroid, zebrafish, fruit fly). ReViMS requires a z-stack of 2D binary masks, obtained by segmenting a sequence of fluorescent images acquired by scanning the aggregate along the z axis, using a confocal or a light-sheet fluorescent microscope. It provides a number of tools for: (a) segmenting z-stacks of fluorescence images; (b) reconstructing the 3D surface of the aggregates and estimating several features (including the volume). ReViMS is written in MATLAB (The MathWorks, Inc., Massachusetts, USA). It is an open-source tool and the source code is freely available at: http://sourceforge.net/p/revims Requirements: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions.

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 the tunes composed by Speedy Composer, and when the website is reopened we will upload them to the new site. Speedy Composer and Speedy Net are open source applications, free software. We are currently looking for volunteers to help us convert Speedy Composer to Python. If you are interested in volunteering, please contact me by email. Thank you and good luck, Uri Rodberg Founder and Director of Speedy Net and Speedy Composer, Speedy Paz Technologies Ltd. uri@speedy.net

Vibrato Toolbox: Parametric Analysis of Musical Vibrato from High-Precision Magnitude/Frequency Tracking Mingfeng Zhang ECE, Univ. of Rochester Part I Analysis of individual music tones This MATLAB toolbox provides signal analysis tools for time-frequency analysis and for parametric analysis of musical vibrato Part II Analysis of multiple music tones or multiple harmonic partials This toolbox allows you to explore a group of audio files, and obtains its related parameters of musical vibrato. [Installation] see more details in the readme files in the zip files. (1) We use some functions in MIR toolbox, please first add in this toolbox to MATLAB: https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox MATLAB/file -> set path add folder /Toolbox/ (and the folder for audio files) hit "save"; "close". (2) please also set the folder "F:\THISFOLDER" with code and audio files as "current directory" so the code can read the audio segment.

Image Processing/Tracking Software for off-line analysis of Field Biology Videos/Recordings.

YASAV is a GUI-based tool for fast analysis and visualization of SRAM based memory aging. The customization is done for YUV videos to realize use cases for image/video processing applications. This tool accepts SRAM scratchpad memory configuration and user parameters (like test data sets, required aging years etc.) and provides aging estimates in terms of Static Noise Margin (the metric of SRAM aging estimation) and in-depth duty cycle analysis. This tool also supports automatic visualization of aging results in form of heatmaps, box plots and histograms. It can also be used as a standalone tool for visualizing YUV 4:2:0p video files. In case of usage, please refer to our DAC'15 paper: M. Shafique, M. U. K. Khan, Orcun Tuefek and J. Henkel, "EnAAM: Energy-Efficient Anti-Aging for On-Chip Video Memories", in Design Automation Conference (DAC), San Francisco, CA, 2015.

audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc.

Detect the most representative part (i.e. chorus) of a given song.