Sungkyun Chang

Expert
@mimbres

ML for music and audio

YourMT3. multi-task and multi-track music transcription for everyone

235

neural-audio-fp. Official implementation of Neural Audio Fingerprint (ICASSP 2021)

213

SeqSkip. Python

10

FFTNet. Implementation of FFTNet

3

Cambridge-MT-Downloader. Cambridge-MT dataset auto-download & resampling.

3

stable-audio-controlnet. Fine-tune Stable Audio Open with DiT ControlNet.

2

audio-dataset. Audio Dataset for training CLAP and other models

2

WWW_challange_round2_submission_1. Python

2

audio-ai-timeline. A timeline of the latest AI models for audio generation, starting in 2023!

2

WORLD-vocoder-experiment. Python

2

pfann. Neural network Audio Fingerprint

1

clamp2_linux_mac. CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

1

simclr. SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

1

softdtw_for_mpe. Code and trained models for the paper "Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond", ICASSP 2023

1

encodec. State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

1

train_userSongVec. Python

1

audio_fx_playground. CSS

1

train_lastfm. Python

1

voice-web. Common Voice is part of Mozilla's initiative to help teach machines how real people speak.

1

Fast-Tacotron-PyTorch. Python

1

MidiTok. MIDI / symbolic music tokenizers for Deep Learning models 🎶

1

AMT-challenge. Python

1

midi2audio-musescore4. Python

1
23
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