---
# System prepended metadata

title: Notes for DCASE
tags: [dcase, jptw]

---

###### tags: `jptw` `dcase`
# Notes for DCASE

## DCASE 2020

### Dataset
#### Sound Event Detection
> AudioSet:
> [Dataset](https://research.google.com/audioset/dataset/index.html)
> [Models for AudioSet: A Large Scale Dataset of Audio Events](https://modelzoo.co/model/audioset)
>
> GitHub Repo:
> [audioset/ontology](https://github.com/audioset/ontology)
> [luuil/Tensorflow-Audio-Classification](https://github.com/luuil/Tensorflow-Audio-Classification)
> [tobiastoft91/VGGish_AudioClassifer_02456](https://github.com/tobiastoft91/VGGish_AudioClassifer_02456)
> [tensorflow/models - research/audioset/vggish](https://github.com/tensorflow/models/tree/master/research/audioset/vggish)
> [tensorflow/models - research/object_detection/colab_tutorials/object_detection_tutorial.ipynb](https://github.com/tensorflow/models/blob/master/research/object_detection/colab_tutorials/object_detection_tutorial.ipynb)

#### Acounstic Scene Classification
> Challenge: 
> [Task Description](http://dcase.community/challenge2019/task-acoustic-scene-classification)
> 
> Pre-Trained Model: 
> [Pre-Trained CP_ResNet( rho=5 ) on DCASE 2019 Task 1A acoustic scene classification](https://zenodo.org/record/3674034#.X5Eu6JMzblz)


## Others
> [Notes for Transfer Learning](/@ahglab/python-note-transfer-learning)