topel / bird_audio_detection_challengeLinks
DenseNets for the detection of singing birds in audio files
☆17Updated 7 years ago
Alternatives and similar repositories for bird_audio_detection_challenge
Users that are interested in bird_audio_detection_challenge are comparing it to the libraries listed below
Sorting:
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- Convolutional neural networks for sound classification☆20Updated 7 years ago
- Thomas Grill's "bulbul" bird audio detection system, adapted for DCASE 2018☆32Updated 6 years ago
- Utils and data sets for audio and PyTorch☆86Updated 3 years ago
- SiSEC MUS 2018 Submission System☆43Updated 6 years ago
- Baseline systems for the FSD50K dataset☆69Updated 3 years ago
- Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification☆29Updated 6 years ago
- The details that matter: Frequency resolution of spectrograms in acoustic scene classification - paper replication data☆39Updated 7 years ago
- Python library for audio augmentation☆84Updated 2 years ago
- Pytorch implementation of "Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms"☆59Updated 2 years ago
- Multiple Instance Learning for Sound Event Detection☆34Updated 7 years ago
- Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation☆49Updated 6 years ago
- A fast cnn-based vocoder☆78Updated 5 years ago
- audio processing module for pytorch:stft, istft☆36Updated 6 years ago
- Surrey CVSSP DCASE 2018 Task 2 system☆19Updated 2 years ago
- DCASE 2017 Baseline system☆82Updated 5 years ago
- ☆47Updated 7 years ago
- ☆27Updated 7 years ago
- Chainer implementation of between-class learning for sound recognition https://arxiv.org/abs/1711.10282☆95Updated 7 years ago
- Parse and process the demixing secrets dataset (DSD100)☆49Updated 7 years ago
- ☆12Updated 8 years ago
- Attacking Speaker Recognition with Deep Generative Models☆34Updated 2 years ago
- A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation☆140Updated last year
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated last year
- Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"☆84Updated 6 years ago
- Pytorch implementation of time-domain filterbanks☆112Updated 3 years ago
- Interspeech 2019 tutorial materials☆49Updated 5 years ago
- ☆56Updated 7 years ago
- implement Wave-U-Net by pytorch☆57Updated 6 years ago
- Zero-shot Learning for Audio-based Music Classification and Tagging (ISMIR 2019)☆42Updated 5 years ago