Search Results for "artificial intelligence java source code"
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Showing 10 open source projects for "artificial intelligence java source code"
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eGuideDog project develops free software for the blind. Currently, we focus on WebSpeech, Ekho TTS and WebAnywhere.
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vocoder chung is a small educational vocoder using discrete fourier transform FFT spectrum written in easy fast compiled freebasic . (24/12/2019) uses fast and accurate FFTdll.dll (28/03/2020) algorythmic voice cloning / change / morphing experiment added
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Audivolv
Artificial intelligence evolves musical instruments played with mouse
Artificial Intelligence (AI) evolves musical instruments you play with the mouse from small blocks of Java code that operate on numbers, each block designed to keep all numbers in range -1 to 1 if they started in that range, and combinations of these evolved codes running 44100 times per second for high quality 44.1 khz audio. You can also write the Java code into its window. -
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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
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Self-modifying Jar file Programming-Lang for Artificial-Intelligence & Audio & Natural-Lang monkeys with code like a simian. Windows mutate self Code: if(ask("MP3?")sound(mp3("C:\\music\\a.mp3"*(3.4 count)))) plays a.mp3 3.4x speed if click yes
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A multiagent system with elements of artificial intelligence capable of composing and performing its own music.
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musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
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Evomusic deals with automatic composition of music (midi-files) using evolutionary algorithms. Currently we are testing multiple approaches for doing this successfully, especially neural networks and/or algorithms based on simple music theory.
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Java based system for creating Bio-Musical Worlds. Investigating the use of AI (flocking,A-Life, Genetic Algorithms, Neural Networks) and other bio-modelling techniques for the creation and evolution of musical landscapes.
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