fgnt / pb_sedLinks
Paderborn Sound Event Detection
☆78Updated 2 years ago
Alternatives and similar repositories for pb_sed
Users that are interested in pb_sed are comparing it to the libraries listed below
Sorting:
- Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, a…☆43Updated 4 years ago
- ☆39Updated 3 weeks ago
- Domestic environment sound event detection task☆155Updated last year
- Repo associated to the DESED dataset, download and creation of data☆144Updated last year
- ☆55Updated 3 years ago
- Multi-Phase Gammatone Filterbank (MP-GTF) construction for Python☆48Updated 5 years ago
- An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection☆74Updated 4 years ago
- A fast implementation of bss_eval metrics for blind source separation☆144Updated 5 months ago
- ☆54Updated 5 years ago
- Tensorflow implementation of deep CASA☆65Updated 4 years ago
- Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge in Online Conferencing Applications☆45Updated 3 years ago
- ☆67Updated last year
- ☆51Updated 4 years ago
- Components loss for neural networks in mask-based speech enhancement☆33Updated 5 years ago
- Pytorch implementation of subband decomposition☆92Updated 3 years ago
- Pytorch port of Google Research's LEAF Audio paper☆93Updated 4 years ago
- ☆113Updated 8 months ago
- ☆90Updated last year
- Speech Dereverberation using Fully Convolutional Networks☆77Updated 5 years ago
- ☆37Updated 3 years ago
- Room impulse response simulator using python☆98Updated 5 years ago
- Visualization toolbox for Sound Event Detection☆124Updated last year
- 📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).☆104Updated 2 years ago
- A library built for easier audio self-supervised training, downstream tasks evaluation☆136Updated 4 months ago
- Multi-Task Audio Source Separation, Two-Stage Model, Complex Domain.☆95Updated 2 years ago
- Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement☆82Updated 4 years ago
- Boosting Self-Supervised Embeddings for Speech Enhancement☆47Updated 3 years ago
- CP-JKU submission to DCASE 20☆45Updated 4 years ago
- Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.☆119Updated 2 years ago
- STOI loss function in PyTorch☆104Updated last year