This project contains sources to efficiently extract Mel-Frequency-Cepstral-Coefficients from a given audio stream on Apple iOS / OSX. It further includes a game prototype called "MatchBox" which applies dynamic time warping on these MFCC features in order to compare two spoken words for similarity. For more information, please visit http://hfink.eu/matchbox Content Description of folders: ./boost_ext Contains headers and precompiled libraries of the boost testing framework. ./matlab Contains a prototype implementation of dynamic-time-warping and comparison tests for MFCC implementations. In order to run all included matlab test and prototype files, you will need to install both of these libraries: AuditoryToolbox: This toolbox is included in the MIR toolbox which can be downloaded from here: https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox RastaMAT's mfcc implementation: http://www.ee.columbia.edu/~dpwe/resources/matlab/rastamat/ ./samples Contains various (self recorded) speech samples which are used in some unit tests of the CPP implementations. ./Xcode This folder contains the actual Xcode project and source files. The following projects are included within this folder: WordMatch This is a simple C/C++ library that is compatible with OS X and iOS. It contains an implementation to calculate Mel-Frequency-Cepstral-Coefficients, an implementation of dynamic time warping, and some utility classes in order to access audio files. This project also contains unit tests that work on both platforms, iOS and OS X. This library also exposes a clean C-API (WordMatchSession) that demonstrates a session-based MFCC extraction for audio being accessible via the CoreMedia frameworks (currently only avaiable on > iOS 4). See "iPodLibMFCCTest" for a usecase of this API. SimodOne An iOS application for recording two audio files and measuring their similarity. This application was mainly built in order to test the real field performance of the WordMatch library. MatchBox An iOS game prototype similar to "I see with my little eye." iPodLibMFCCTest A prototype iOS app that demonstrates the following use-cases: Accessing audio data from songs contained in your iPod library efficiently. Analyzing chunks of audio data using MFCC calculations (see WordMatchSession API). Both tasks have been implemented in a highly-efficient manner.