tango4j / music-noise-segmentation-on-a-spectrogram
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
- singing voice analysis and detection tools☆21Updated 9 years ago
- Music structure segmentation with convnets☆13Updated 9 years ago
- Audio Processing Seminar 2016: Reproducible Research☆19Updated 7 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…☆15Updated 12 years ago
- Humphrey, E. J. "An Exploration of Deep Learning in Music Informatics." (2015) New York University.☆14Updated 9 years ago
- ☆8Updated 7 years ago
- Segmentation algorithm for MIREX 2014☆14Updated 9 years ago
- Deep Recurrent Neural Network for Audio Source Separation☆37Updated 9 years ago
- Deep Convolutional Networks on the Pitch Spiral for Musical Instrument Recognition☆41Updated 8 years ago
- Auralisation of learned features in CNN (for audio)☆42Updated 8 years ago
- Experimenting with musically motivated convolutional neural networks☆16Updated 8 years ago
- code for research project on melody extraction by contour classification☆16Updated 8 years ago
- practically universal music pre-processor☆61Updated 3 years ago
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- Repository containg experiments with Extreme Learning Machines And Reservoir Computing, ELMARC.☆20Updated 7 years ago
- Consistent dictionary learning algorithm for signal declipping (Python code)☆20Updated 6 years ago
- ☆25Updated 7 years ago
- ☆37Updated 9 years ago
- ☆21Updated 6 years ago
- ☆27Updated 9 years ago
- Audio source separation (mixture to vocal) using the Wavenet☆21Updated 7 years ago
- Convolutional neural networks for sound classification☆20Updated 7 years ago
- Unsupervised speech activity detection system.☆11Updated 6 years ago
- Neural Turing machine for source separation in Tensorflow☆18Updated 7 years ago
- SiSEC MUS 2018 Submission System☆43Updated 5 years ago
- Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neu…☆13Updated 7 years ago
- how to generate the full-contextual labels from un-seen text for the application of HMM-based speech synthesis (HTS)☆11Updated 5 years ago
- Parse and process the demixing secrets dataset (DSD100)☆49Updated 7 years ago
- Supplemental material for the paper "Towards Automatically Correcting Tapped Beat Annotations for Music Recordings"☆20Updated 4 years ago
- Melody extraction based on source-filter modelling☆26Updated 6 years ago