kkoutini / passt_hear21
Inference code for PaSST, using the HEAR API.
☆28Updated 8 months ago
Related projects: ⓘ
- EVAR ~ Evaluation package for Audio Representations☆41Updated last month
- Learning differentiable temporal resolution on time-series data.☆33Updated last year
- A library built for easier audio self-supervised training, downstream tasks evaluation☆92Updated 3 weeks ago
- Pytorch implementation of subband decomposition☆88Updated 2 years ago
- Official implementation for our paper "Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations"☆22Updated 3 months ago
- NOMAD is a fully unsupervised non-matching reference audio quality metric☆23Updated 3 months ago
- Open implementation of UNIVERSE and UNIVERSE++ diffusion-based speech enhancement models.☆66Updated 3 weeks ago
- Unsupervised Representation Learning for Singing Voice Separation☆21Updated last year
- ARCH: Audio Representations benCHmark☆25Updated 3 weeks ago
- Evaluate EfficientAT models on the Holistic Evaluation of Audio Representations Benchmark.☆23Updated last year
- Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)☆40Updated 2 years ago
- ☆18Updated 2 years ago
- A Diffusion Probabilistic Model for Target Sound Extraction☆29Updated 4 months ago
- Code and data recipes for the paper: Heterogeneous Target Speech Separation☆38Updated last year
- Official implementation of EfficientLEAF, a learnable audio frontend.☆39Updated last year
- Fully Quantized Neural Networks For Speech Enhancement☆57Updated 7 months ago
- experiments about AudioSet☆43Updated last year
- Backpropagable pytorch implementation of https://craffel.github.io/mir_eval/.☆35Updated 2 months ago
- Boosting Self-Supervised Embeddings for Speech Enhancement☆42Updated 2 years ago
- This code is to run the WARP-Q speech quality metric.☆34Updated last year
- Query-conditioned target sound extraction model☆14Updated 3 months ago
- ☆19Updated last year
- ☆30Updated 3 months ago
- Official implementation of "Learning Music Audio Representations Via Weak Language Supervision" (ICASSP 2022)☆46Updated 2 years ago
- Source code for training models and using the hyperbolic interface proposed in our ICASSP 2023 paper, “Hyperbolic Audio Source Separation…☆56Updated last year
- ☆63Updated last year
- Bandwidth Extension of Historical Recordings using Generative Adversarial Networks☆32Updated last year
- System that ranks 2nd in DCASE 2022 Challenge Task 5: Few-shot Bioacoustic Event Detection☆27Updated 2 years ago
- Unsupervised domain adaptation for conversational speech enhancement using RemixIT☆51Updated last year
- Paderborn Sound Event Detection☆68Updated last year