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Sonic Flow are C/C++ libraries for dataflow-oriented audio signal processing. Advanced features: feedback, multirate and hierarchical networks; signal processing block library. High-quality chorus/flanger, compressor/expander, param.EQ etc. example code.
CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
OCaml interface to FFTW3 -- the Fastest Fourier Transform in the West! (http://www.fftw.org/). The code is developed at https://github.com/Chris00/fftw-ocaml
Unlimited organizations, 3 enterprise SSO connections, role-based access control, and pro MFA included. Dev and prod tenants out of the box.
Auth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
compariSong is an audio tool to support query by singing/humming. It compares a database of popular songs with a hummed-by-user melody and returns the closest matches.
Toolbox for speech processing. Realization of Voicebox interface.
This is a toolbox for speech processing written in C. It realizes interface of Voicebox toolbox (http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html).
Spectral Orchestrator--A software tool for musicians and composers that creates harmonies/orchestrations from digitally recorded sound files. Currently compiles and runs in Linux and Mac OS X (and eventually Windows/Cygwin).
Azul is a music organizer that automatically extracts archives, converts file formats, splits audio by CUE and then intelligently identifies, tags, and renames. Just tell Azul what folder to scan and it will do the rest.
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A set of Qt/C++ classes enabling cross-platform sound recording and pitch recognition. Can be used in software (e.g. instrument tuners, sound dictation, music teaching and tests) as a user input method. Includes a guitar-tuner example.
Audio Analysis/Resynthesis the way Darwin would have done it if he were only into computer music. Using a genetic algorithm to evolve a sinusoidal/noise based sound model, create variations as the audio chromosome of a sound's family tree progresses.
1.) Investigation with cosine transform, and anti transform algorithm, with some voice recognition code. 2.) Translator: Croatian, English. 3.) 2D to 3D picture algorithm (principle) and new 2Dto3D video conversion code with AviSynth video scripting
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.
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 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.
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.
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.
This is a Java Just Intonation Calculator. It allows users on many platforms to calculate and hear just tunings. It will support saving and opening tunigs and opening spreadsheet documents and allow users to send tunings to their synthesizers, via MIDI
This library is a Java port from the libFooID audio fingerprinting library created by Gian-Carlo Pascutto. The fingerprint captures how the audio is perceived by an audience so it can e.g. be used in a database to retrieve metatags of a track.