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accented-tts-mlvae-adv

ai-audio-datasets-list

This is a list of datasets consisting of speech, music, and sound effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio applications. It is mainly used for speech recognition, speech synthesis, singing voice synthesis, music information retrieval, music generation, etc.

amaai-guidebook

amaai-lab.github.io

Allan Lab website

audioloader

PyTorch Dataset for Speech and Music audio

awesome-mer

A curated list of Datasets, Models and Papers for Music Emotion Recognition (MER)

cm-hrnn

Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure

colab_tension_vae

A variational autoencoder for music generation with tension control

conditional-drums-generation-using-compound-word-representations

Conditional Drums Generation using Compound Word Representations

cvae-tacotron

Conditional VAE for Accented Speech Generation

datasets_emotion

This repository collects information about different data sets for Music Emotion Recognition.

demucs_lightning

Demucs Lightning: A PyTorch lightning version of Demucs with Hydra and Tensorboard features

diffroll

PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model

disfluencyspeech

Resources for DisfluencySpeech

emotionweb

Website emotion guidance

fundamentalmusicembedding

Fundamental Music Embedding, FME

genmusic_demo_list

a list of demo websites for automatic music generation research

hear_2021_neurips_challenge_sutd_amaai

iamm

An exploration of how generative text-to-music AI models can be used for emotion guidance

ijcnn2020_music_emotion

Regression-based Music Emotion Prediction using Triplet Neural Networks

jointist

Official Implementation of Jointist

kylo-ren-app

Web interface for AI music generation models

leadsheetgen_valence

A novel seq2seq framework where high-level musicalities (such us the valence of the chord progression) are fed to the Encoder, and they are "translated" to lead sheet events in the Decoder. For further details please read and cite our paper:

midicaps

A large-scale dataset of caption-annotated MIDI files.

musiac

music inpainting control

music-fader-nets

Code accompanying ISMIR 2020 paper - "Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling".

mustango

Mustango: Toward Controllable Text-to-Music Generation

muvi

Predicting emotion from music videos: exploring the relative contribution of visual and auditory information on affective responses

nnaudio

Audio processing by using pytorch 1D convolution network

nnaudio-hear