Search Results for "java class analysis" - Page 5
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Showing 296 open source projects for "java class analysis"
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Reimplementation of the proof command from the Humdrum toolkit in Java
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LAoE is a rich featured graphical audiosample-editor, based on multi-layers, floating-point samples, volume-masks, variable selection-intensity, and many plugins suitable to manipulate sound, such as filtering, retouching, resampling...
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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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Frequency Spectrum Dump Inputs: mp3, wav, ogg, flac, etc Scriptable, Visualization Output: csv file with the mean magnitudes of 255 frequency bands
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KGuitar is powerful KDE-based music tabulature editor with support of guitar, drums, classic note scores, MIDI synthesizer output, chord, scales, modes, melody and rhythm construction and analysis tools, lots of tab effects, Guitar Pro files import.
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The open source, multimodal interactive "Sensitive Artificial Listener" dialogue system created by the EU project SEMAINE.
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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.
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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.
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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.
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A utility to analyse sound files and print out the volume profile of the start and end. The idea is to embed those profiles in metadata so players can do intelligent mixing between tracks. Supports FLAC and MP3. Implemented in http://git.musicpd.org
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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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MicMoN is a simple but very efficient graphical microphone monitor. It works as an oscilloscope, spectrum analyzer and even an instrument tuner.
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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.
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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.
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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.
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Tune is a note/chord detecting program for use with guitars, pianos, or voices. It uses an FFT to analyze incoming sound and computes the root frequency.
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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.
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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.
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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.
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ID3 and Ogg tag reader and writer library for Linux. This is only a library to be used by developers to include in their applications.
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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.
