ksanjeevan / crnn-audio-classification
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
β384Updated 3 years ago
Alternatives and similar repositories for crnn-audio-classification:
Users that are interested in crnn-audio-classification are comparing it to the libraries listed below
- β223Updated 4 years ago
- π¦ A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognitionβ493Updated 3 years ago
- Pytorch code for "Rethinking CNN Models for Audio Classification"β125Updated 3 years ago
- A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brainβ645Updated 2 years ago
- Environmental sound classification using Deep Learning with extracted featuresβ165Updated 4 years ago
- Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection wβ¦β188Updated 2 years ago
- An implementation of vggish in keras with tf backendβ117Updated 3 years ago
- β480Updated 6 months ago
- Deep Learning experiments for audio classificationβ149Updated 7 years ago
- LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanksβ¦β502Updated 2 years ago
- Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.β983Updated this week
- Kaggle | 1st place solution for Freesound Audio Tagging 2019β314Updated 2 years ago
- DCASE 2018 Baseline systemsβ129Updated 5 years ago
- spafe: Simplified Python Audio Features Extractionβ464Updated 6 months ago
- Problem Agnostic Speech Encoderβ440Updated last year
- Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional reβ¦β346Updated 2 years ago
- β103Updated 4 years ago
- Speech Enhancement Generative Adversarial Network in PyTorchβ383Updated last year
- Pytorch port of Google Research's VGGish model used for extracting audio features.β379Updated 3 years ago
- This code aims at weakly-labeled semi-supervised sound event detection. The code embraces two methods we proposed to solve this task: spβ¦β127Updated 4 years ago
- Classification of Urban Sound Audio Dataset using LSTM-based model.β72Updated 2 years ago
- β54Updated 6 years ago
- General purpose sound recognition demoβ151Updated last year
- Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)β72Updated 3 years ago
- β207Updated 10 months ago
- Code for Yun Wang's PhD Thesis: Polyphonic Sound Event Detection with Weak Labelingβ165Updated 2 years ago
- Audio transformations library for PyTorchβ229Updated 2 years ago
- Deep learning based speech source separation using Pytorchβ315Updated 4 years ago
- Include some core functions and model to handle speech separationβ155Updated 3 years ago
- β58Updated 6 years ago