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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.
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Can detect digitalizing errors (like silences, saturations and identical samples) in audio files (wav). Scan audio files for statistics like the peak value.
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.
DTMF detector library and/or application that reads in the specified audio file and returns/outputs whether DTMF detected and/or list of detected digits. May have GUI and command line interfaces.
Extremely Lightweight Beat Detection Algorithm - BeatDetektor uses a very simple statistical model designed from scratch by myself to detect the BPM of music and provides real-time feedback useful for visualization and synchronization.
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Connect your computer to your music/sound system and use your netbook, laptop, Apple, IPhone or smartphone to control the server from wherever you are. Perfect for parties, pubs... Access your audio, mp3 library remotely or dj from the dance floor.
Beat tracking software that produces a real time beat-pattern hierarchy with real time latency requirements. The system utilizes a blackboard structure over amplitude to construct the beat hierarcy from a standard JMF input stream.
Will go though all your mp3 files, and use the internet to guess an album for it. It currently only uses Yahoo Image Search to find the album art but future versions will be interactive and use various sources like Flickr.
This is a program to store data calculated from the tempo of a song into different degrees of seconds for use with "programming synths". Written in C++ with Visual C++ Express. Java version coming soon.
Instrument tuner. It can help you to tune a piano, a guitar ... Accordeur displays spectrum and calculates the pitch really played. A visual bar allows an easy tuning. Instruments and temperaments are customizable.
Software provides two features,
1. To identify the musical notes in a given audio file which the singer is singing at.
2. To let a user practice singing individual notes of Indian music, with graphical representation of his performance.
Speech Made Visible is an experiment in showing some of the qualities of speech in printed text. Analyze a recording for attributes like pitch, intensity (loudness), and speed; then style the words in a transcript to suggest those characteristics.
HCI for audiovisual live performance exploiting physical computing.
Transform your standard musical instrument - electric bass, guitar, violin, piano etc - in an augmented tool, an audiovideo controller without exploiting any specific ext. hardware.
Qweely is a tool written in Java for a simple analysis of music. In its early state Qweely is focused on tempo, meter and tonality detection. Visit the project homepage for download and further informations.
The Audio-Analyzer project is a set of tools for measuring the frequency response, distortion, and quality of audio equipment. It includes test signal generators and spectrum analyzers.
Diglo is a Music Information Retrieval System based on Computer Vision and Audio Spectrum Analysis, using algorithmic operations to find emergent patterns in musical performance. Also it functions as a low-cost Motion Capture Analysis system.