jordipons / neural-classifiers-with-few-audio
Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274
☆60Updated 6 years ago
Alternatives and similar repositories for neural-classifiers-with-few-audio:
Users that are interested in neural-classifiers-with-few-audio are comparing it to the libraries listed below
- SiSEC MUS 2018 Submission System☆43Updated 5 years ago
- ☆33Updated 5 years ago
- CNN-based singing voice detection experiments☆37Updated 7 years ago
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated last year
- ☆16Updated 6 years ago
- Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.☆20Updated 6 years ago
- Crowdsourced Audio Quality Evaluation Toolkit☆52Updated 2 years ago
- ☆27Updated 7 years ago
- Multiple Instance Learning for Sound Event Detection☆34Updated 7 years ago
- Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification☆29Updated 5 years ago
- Code for "Comparison and Analysis of SampleCNN Architectures for Audio Classification", IEEE Journal of Selected Topics in Signal Process…☆21Updated 5 years ago
- Two implement for Constant Q Transform☆27Updated 8 years ago
- Experiments for Invariances and Data Augmentation for Supervised Music Transcription☆31Updated 5 years ago
- Zero-shot Learning for Audio-based Music Classification and Tagging (ISMIR 2019)☆41Updated 5 years ago
- Designing efficient architectures for modeling temporal features with convolutional neural networks☆16Updated 8 years ago
- Audio Processing Seminar 2016: Reproducible Research☆20Updated 7 years ago
- Vocode spectrograms to audio with generative adversarial networks☆63Updated 5 years ago
- ☆58Updated 4 years ago
- The phoneme classification code for EUSIPCO 2017 paper: Timbre Analysis of Music Audio Signals with Convolutional Neural Networks☆20Updated 8 years ago
- Revisiting Singing Voice Detection : a Quantitative Review and the Future Outlook☆67Updated 2 years ago
- Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder☆36Updated 4 months ago
- ☆12Updated 7 years ago
- acoss: Audio Cover Song Suite is a framework for feature extraction and benchmarking for the cover song identification (CSI) task☆39Updated last year
- Learn and L3 embedding from audio/video pairs☆87Updated 3 years ago
- JAMS annotation files for the original and augmented UrbanSound8K dataset☆35Updated 7 years ago
- Tensorflow code for training deep convolutional neural networks for music audio tagging☆49Updated 2 years ago
- Extra notebooks for CCRMA MIR workshop, 2018 edition☆13Updated 6 years ago
- ☆40Updated 4 years ago
- ☆76Updated 5 years ago
- ☆32Updated 4 years ago