edufonseca / FSD50K_baselineLinks
Baseline systems for the FSD50K dataset
☆69Updated 3 years ago
Alternatives and similar repositories for FSD50K_baseline
Users that are interested in FSD50K_baseline are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation☆139Updated last year
- Python library for rapid prototyping of environmental sound analysis systems☆43Updated 3 years ago
- COLA contrastive pre-training method implemented in PyTorch☆43Updated 4 years ago
- Sound event detection with depthwise separable and dilated convolutions.☆53Updated 5 years ago
- 📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).☆102Updated 2 years ago
- COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations☆48Updated last year
- Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)☆43Updated 3 years ago
- Learn and L3 embedding from audio/video pairs☆87Updated 3 years ago
- Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - un…☆61Updated 5 years ago
- Simple baseline model for the HEAR benchmark☆23Updated last month
- Asteroid's filterbanks☆86Updated 6 months ago
- An audio classification system for learning with out-of-distribution data☆33Updated 2 years ago
- PyTorch Dataset for Speech and Music audio☆76Updated last year
- PyTorch reimplementation of per-channel energy normalization for audio.☆100Updated 6 years ago
- Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.☆92Updated 2 years ago
- Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model☆26Updated 2 years ago
- Audio activity detector based on per-channel energy normalization (PCEN)☆30Updated 6 years ago
- A new comprehensive and diverse few-shot acoustic classification benchmark.☆64Updated 10 months ago
- Unsupervised Representation Learning for Singing Voice Separation☆22Updated 2 years ago
- A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"☆33Updated 3 years ago
- Control mechanisms to the U-Net architecture for doing multiple source separation instruments☆54Updated 5 years ago
- WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models wi…☆92Updated 4 years ago
- Paderbox: A collection of utilities for audio / speech processing☆38Updated 2 weeks ago
- Benchmark popular audio i/o packages☆145Updated last year
- Official implementation of EfficientLEAF, a learnable audio frontend.☆46Updated 2 years ago
- Implementation for paper "iMetricGAN: Intelligibility Enhancement for Speech-in-Noise using Generative Adversarial Network-based Metric L…☆55Updated 2 years ago
- Python library for audio augmentation☆84Updated 2 years ago
- Source code for training models and using the hyperbolic interface proposed in our ICASSP 2023 paper, “Hyperbolic Audio Source Separation…☆70Updated 2 years ago
- PyTorch implementation of the LEAF audio frontend☆73Updated 2 years ago
- Evaluation kit for the HEAR Benchmark☆59Updated last month