tango4j / music-noise-segmentation-on-a-spectrogramLinks
MNSS (Music Noise Segmentation on a Spectrogram) is a deep-neural network based preprocessing technique that pre-filters unnecessary noise. MNSS is based on the convolutional neural networks and uses softmax value as a probability of noise existence.
☆11Updated 9 years ago
Alternatives and similar repositories for music-noise-segmentation-on-a-spectrogram
Users that are interested in music-noise-segmentation-on-a-spectrogram are comparing it to the libraries listed below
Sorting:
- singing voice analysis and detection tools☆21Updated 10 years ago
- ☆21Updated 6 years ago
- ☆28Updated 9 years ago
- Experimenting with musically motivated convolutional neural networks☆16Updated 9 years ago
- ☆17Updated 5 years ago
- Deep Recurrent Neural Network for Audio Source Separation☆37Updated 10 years ago
- Audio source separation (mixture to vocal) using the Wavenet☆21Updated 7 years ago
- practically universal music pre-processor☆63Updated 3 years ago
- Deep Convolutional Networks on the Pitch Spiral for Musical Instrument Recognition☆41Updated 9 years ago
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- a music segmentation algorithm that I proposed and implemented as my undergraduate project. The basic function is: a song is loaded to th…☆16Updated 12 years ago
- List of Reproducible Audio Research Papers☆76Updated 7 years ago
- Humphrey, E. J. "An Exploration of Deep Learning in Music Informatics." (2015) New York University.☆14Updated 9 years ago
- Implementation of the YAAPT (Yet Another Algorithm for Pitch Tracking), an algorithm that determines the fundamental frequency of noisy s…☆15Updated 10 years ago
- Python implementation of the Flexible Audio Source Separation Toolbox (FASST)☆91Updated 7 years ago
- sliding HPSS and two stage HPSS (singing voice enhancement)☆17Updated 4 years ago
- code for research project on melody extraction by contour classification☆17Updated 9 years ago
- Parse and process the demixing secrets dataset (DSD100)☆49Updated 7 years ago
- Spectral audio feature extraction using time-frequency reassignment☆45Updated 6 years ago
- graph laplacian song segmentation☆18Updated 9 years ago
- Music structure segmentation with convnets☆13Updated 9 years ago
- Melody extraction based on source-filter modelling☆26Updated 6 years ago
- CNN-based singing voice detection experiments☆37Updated 7 years ago
- Source code for the article "Data Driven and Discriminative Projections for Large-Scale Cover Song Identification"☆38Updated 10 years ago
- Multiple Instance Learning for Sound Event Detection☆34Updated 7 years ago
- Zero-Mean Convolutions for Level-Invariant Singing Voice Detection☆11Updated 7 years ago
- Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.☆20Updated 7 years ago
- Unsupervised speech activity detection system.☆11Updated 7 years ago
- Auralisation of learned features in CNN (for audio)☆42Updated 8 years ago
- Segmentation algorithm for MIREX 2014☆14Updated 9 years ago