keunwoochoi/icassp_2017

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Created about 8 years ago
Updated over 7 years ago

keunwoochoi/icassp_2017

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kapre

kapre: Keras Audio Preprocessors

music-auto_tagging-keras

Music auto-tagging models and trained weights in keras/theano

transfer_learning_music

Transfer learning for music classification and regression tasks

Jupyter Notebook

dl4mir

Deep learning for MIR

Jupyter Notebook

torchaudio-contrib

A test bed for updates and new features | pytorch/audio

lstm_real_book

LSTM source code to generate jazz chord progressions

DrummerNet

Supplementary material of "Deep Unsupervised Drum Transcription", ISMIR 2019

LSTMetallica

LSTM to generate drum tracks based on Metallica's midi drum tracks

ismir-2019-posters

residual_block_keras

Residual network block in Keras

magnatagatune-list

List of automatic music tagging research articles that are evaluated against MagnaTagATune Dataset

keras_STFT_layer

Do STFT in Keras

Jupyter Notebook

keras_callbacks_example

Keras callback example

MSD_split_for_tagging

Auralisation

Auralisation of learned features in CNN (for audio)

awesome-audio-study-materials-for-korean

music4all_contrib

Jupyter Notebook

data-science-handbook

데이터 과학 핸드북

Jupyter Notebook

perceptual_weighting

Loudness compensation for time-frequency representation

ismir2016-ldb-audio-captioning-model-keras

Audio captioning RNN model in Keras

keras_cropping_layer

Keras cropping layer implementation

tokenizer-vs-tokenizer

UrbanSound8K-preprocessing

Jupyter Notebook

frequency-aware-conv2d-layer-pytorch

awesome-conscious-AIs

machine_learning_eng2kor

Machine learning eng2kor word dictionary

openmic-2018-tfrecord

FMA_convnet_features

FMA convnet features

magnatagatune

DLR

MSD-to-MB-mapping

Million Song Dataset to MusicBrainz (AcousticBrainz) mapping files

compact_cnn

a landing page for compact cnn

embedding