Pinned Repositories
dcase2019_task2_baseline
soundnet
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016
SoundNet-keras
The purpose of this notebook is to explain how SoundNet works (maths, code, and experiments). Soundnet was developed in 2016 in order to use the natural synchronization between pictures and sounds to learn an acoustic representation from a large number of unlabeled videos, it means to get important features of the sound which allow us to depict them. Other studies are focused on features such as spectrograms and MFCC, on another hand, Soundnet is focused on the natural sounds.
soundnet_keras
SoundNet, built in Keras with pre-trained 8-layer model.
tensorflow
An Open Source Machine Learning Framework for Everyone
uri-tuval's Repositories
uri-tuval/dcase2019_task2_baseline
uri-tuval/soundnet
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016
uri-tuval/SoundNet-keras
The purpose of this notebook is to explain how SoundNet works (maths, code, and experiments). Soundnet was developed in 2016 in order to use the natural synchronization between pictures and sounds to learn an acoustic representation from a large number of unlabeled videos, it means to get important features of the sound which allow us to depict them. Other studies are focused on features such as spectrograms and MFCC, on another hand, Soundnet is focused on the natural sounds.
uri-tuval/soundnet_keras
SoundNet, built in Keras with pre-trained 8-layer model.
uri-tuval/tensorflow
An Open Source Machine Learning Framework for Everyone