marl / l3embedding
Learn and L3 embedding from audio/video pairs
☆87Updated 2 years ago
Alternatives and similar repositories for l3embedding:
Users that are interested in l3embedding are comparing it to the libraries listed below
- A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation☆138Updated 7 months ago
- Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.☆93Updated 2 years ago
- Baseline systems for the FSD50K dataset☆67Updated 3 years ago
- Evaluation toolbox for Sound Event Detection☆146Updated 9 months ago
- Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"☆59Updated last year
- JAMS annotation files for the original and augmented UrbanSound8K dataset☆35Updated 7 years ago
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- ☆58Updated 4 years ago
- ☆35Updated 7 years ago
- 📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).☆101Updated last year
- ☆93Updated 3 years ago
- A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn☆143Updated 2 years ago
- A collection of utilities for Detection and Classification of Acoustic Scenes and Events☆128Updated 9 months ago
- A test bed for updates and new features | pytorch/audio☆169Updated 4 years ago
- COLA contrastive pre-training method implemented in PyTorch☆43Updated 4 years ago
- Zero-shot Learning for Audio-based Music Classification and Tagging (ISMIR 2019)☆41Updated 5 years ago
- Utils and data sets for audio and PyTorch☆85Updated 3 years ago
- Accompanying code for our ISMIR 2020 paper on mood estimation.☆33Updated 3 years ago
- ☆225Updated 5 years ago
- Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"☆97Updated 5 years ago
- CP-JKU submission to DCASE 19, performant single-model CNN☆56Updated 4 years ago
- DCASE 2018 Baseline systems☆129Updated 5 years ago
- ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples☆41Updated 5 years ago
- Visualization toolbox for Sound Event Detection☆118Updated last year
- PyTorch code for training and evaluating MOVE, musically-motivated version embeddings☆49Updated last year
- Pytorch and TensorFlow data loaders for several audio datasets☆112Updated 5 years ago
- Benchmark popular audio i/o packages☆139Updated last year
- ☆58Updated 6 years ago
- Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook☆67Updated 2 years ago
- Multiple Instance Learning for Sound Event Detection☆34Updated 6 years ago