Search Results for "google-visualization-python" - Page 2
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Showing 39 open source projects for "google-visualization-python"
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Open-source content and evaluation framework for music transcription systems. Can be used as monophonic or polyphonic database, through software mixing.
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A visualization of the fourier transform applied to sound data. Analyzes a time-domain sound sample using the Fourier Transform, and graphically displays the results and sound in real time. Attempts to audio into sheet music.
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MusicWatcher is a perl based non-realtime music analysis and visualization system with complete example implementations. One example renders a 3d music driven animation in povray.
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Terz the incredible AutoTagger is a automated Audio File Tagger and File Renamer. It uses information provided by musicbrainz. By using context information Terz achieves very good results. Other features: show incomplete albums, search for Duplicates ...
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Sonogram and waveform display programm for Unix using different algorithms like FFT and LPC to display musical features or potential artefacts that you may no be able to hear. Superimposed tuneable Staff-Lines allow for easy transcription of music.
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A modular audio programming language, designed to write applications quickly. Its main goal is real time audio processing, but it should be used for any kind of development.
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eyeD3 is a Python module that provides the ability to read ID3 tags (v1 and v2), and MP3 headers (bit rate, sample frequency, play time).
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NATSpectrum is a skinnable Spectrum Analyzer, Guitar Tuner, and Quick Volume Control. NS visualization mimics WinAMP 2.x style. NS is written in pure Win32 C++ and uses DirectDraw and DirectSound. (FFT, Frequency, Mixer, Microphone, DirectX, PNG, Record)
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AuVis is a short command-line program that generates static images based on the audio data read from a WAVE resource. This can be useful when you want to get a quick overview on how loud an audio file is at certain positions.
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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.
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