YashNita / sound-event-detection-winning-methodLinks
☆25Updated 6 years ago
Alternatives and similar repositories for sound-event-detection-winning-method
Users that are interested in sound-event-detection-winning-method are comparing it to the libraries listed below
Sorting:
- Training neural audio classifiers with few data − https://arxiv.org/abs/1810.10274☆60Updated 6 years ago
- Repository for Weak Label Learning for Audio Events - A closer look. Uses Audioset subset data provided for reproducibility.☆32Updated last year
- Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model☆26Updated 2 years ago
- The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 archi…☆30Updated last year
- Sound event detection with depthwise separable and dilated convolutions.☆53Updated 5 years ago
- Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".☆27Updated 3 years ago
- Python library for audio augmentation☆84Updated 2 years ago
- SiSEC MUS 2018 Submission System☆43Updated 5 years ago
- 📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).☆30Updated last year
- Google Speech Command Dataset Classification Neural Network, CNN, RNN☆25Updated 7 years ago
- Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation☆14Updated 4 years ago
- This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'.☆42Updated last year
- Control mechanisms to the U-Net architecture for doing multiple source separation instruments☆52Updated 5 years ago
- A deep learning solution to the Query By Singing/Humming (QBSH) problem in Music Information Retrieval (MIR).☆15Updated 8 years ago
- Training General-Purpose Audio Tagging Networks with Noisy Labels and Iterative Self-Verification☆29Updated 6 years ago
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆45Updated last year
- Single Pass Spectrogram Inversion in a Jupyter Python notebook☆34Updated 7 years ago
- ☆29Updated 5 years ago
- JAMS annotation files for the original and augmented UrbanSound8K dataset☆35Updated 7 years ago
- A database of clean and noisy speech for audio research☆9Updated 7 years ago
- How to run GPU accelerated Signal Processing in TensorFlow☆23Updated 6 years ago
- Language modelling for sound event detection☆20Updated 5 years ago
- Baseline systems for the FSD50K dataset☆69Updated 3 years ago
- Multiple Instance Learning for Sound Event Detection☆34Updated 7 years ago
- Convolutional neural networks for sound classification☆20Updated 7 years ago
- 6th place solution to Freesound Audio Tagging 2019 kaggle competition☆25Updated 5 years ago
- Consistent dictionary learning algorithm for signal declipping (Python code)☆20Updated 6 years ago
- SpeechYOLO Interspeech 2019☆44Updated 2 years ago
- A speech signal processing library in Python with emphasis on deep learning.☆31Updated 3 years ago
- Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.☆36Updated 5 years ago