tae-jun / sampleaudioLinks
Code for "Comparison and Analysis of SampleCNN Architectures for Audio Classification", IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2019.
☆21Updated 5 years ago
Alternatives and similar repositories for sampleaudio
Users that are interested in sampleaudio are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"☆59Updated 2 years ago
- A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation☆140Updated last year
- Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook☆67Updated 2 years ago
- DCASE 2017 Baseline system☆82Updated 5 years ago
- Benchmark for sound event localization task of DCASE 2019 challenge☆77Updated 4 years ago
- DCASE2019 Challenge Task 1 baseline system☆20Updated 5 years ago
- Evaluation toolbox for Sound Event Detection☆155Updated last year
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples☆42Updated 2 months ago
- CP-JKU submission to DCASE 20☆45Updated 4 years ago
- ☆47Updated 7 years ago
- Simple baseline model for the HEAR benchmark☆23Updated this week
- ☆41Updated 5 years ago
- Visualization toolbox for Sound Event Detection☆122Updated last year
- Baseline method for sound event localization task of DCASE 2021 challenge☆41Updated 4 years ago
- ☆75Updated 5 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆95Updated 5 years ago
- 📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).☆101Updated 2 years ago
- Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmenta…☆55Updated 3 years ago
- Baseline of dcase 2019 task 4☆59Updated 2 years ago
- Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"☆84Updated 6 years ago
- A collection of utilities for Detection and Classification of Acoustic Scenes and Events☆132Updated 4 months ago
- Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder☆38Updated 8 months ago
- Baseline systems for the FSD50K dataset☆69Updated 3 years ago
- Deep Attractor Network (DANet) for single-channel speech separation☆76Updated 6 years ago
- ☆38Updated 5 years ago
- A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn☆143Updated 2 years ago
- ☆54Updated 5 years ago
- COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations☆48Updated last year
- Audio Source Separation using Neural Networks☆24Updated 7 years ago