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Leavy J's Projects

audio-signal-processing-for-music-applications icon audio-signal-processing-for-music-applications

This repository holds all the codes/documentation/working/templates of how to process audio/music/song files using digital signal processing primitives. The Music files will range from .wav to .mp3 file. The repository will cover extracting low-level descriptors (freq, wavelength, duration.. etc) i.e easily extracted from an audio file, mid-level descriptors (harmony, rythm.. etc) i.e information general about music and high-level descriptors (genre, emotion, instrument.. etc) i.e relevant to the users.

audio2audio icon audio2audio

Tools for searching best match of two audio files and retiming of subtitles

audiomatch icon audiomatch

Audio matching software originally written for CS4500

audiosearchengine icon audiosearchengine

Python Audio Search Engine: search for audio .wav files based on percent similarity

audiosimilarityprocessor icon audiosimilarityprocessor

A small scope project undertaken for CP3000 to attempt to implement machine learning and audio processing.

bachbot icon bachbot

Use deep learning to generate and harmonize music in the style of Bach

beethoven-start icon beethoven-start

A Neural Net using LSTMs that composes polyphonic piano music in the style of Beethoven

char-rnn-tensorflow icon char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

chord-recognition icon chord-recognition

Projects developed during the Spring 2017 Computational Audio course at Boston University.

coversongs-dual-convnet icon coversongs-dual-convnet

Deep learning model trained to automatically identify cover songs using siamese convnets and tied together with a fully-connected sofmax.

deepbach icon deepbach

code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dejavu icon dejavu

Audio fingerprinting and recognition in Python

geometriccoversongs icon geometriccoversongs

Geometry features for block window cover song identification (a continuation of my ISMIR 2015 paper)

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

ism2017 icon ism2017

Reproducible research code for the experiments presented in our article "Kara1k: a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017

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