# Urban-Sound-Classification

**Repository Path**: mirrors_aqibsaeed/Urban-Sound-Classification

## Basic Information

- **Project Name**: Urban-Sound-Classification
- **Description**: Urban sound classification using Deep Learning
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-01-10
- **Last Updated**: 2026-01-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## Urban Sound Classification 

#### Notebooks

<ul>
<li>
<p><a href="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Feedforward%20Neural%20Network.ipynb">
Feedforward Network</a><a href="http://aqibsaeed.github.io/2016-09-03-urban-sound-classification-part-1/"> (Blogpost)</a></p>
</li>
<li>
<p><a href="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Convolutional%20Neural%20Network.ipynb">Convolutional Network</a> <a href="http://aqibsaeed.github.io/2016-09-24-urban-sound-classification-part-2/"> (Blogpost)</a></p>
</li>
<li>
<p><a href="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Recurrent%20Neural%20Network.ipynb">Recurrent Network</a></p>
</li>
</ul>

<p align="center"><img src="https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/urban-sound-spectrogram.png"/></p>

#### Tools

Python 3.5 (or above) is used during development and following libraries are required to run the code provided in the notebook:
* Tensorflow 2.x
* Numpy
* Matplotlib
* Librosa

#### Dataset

The UrbanSound8k dataset used for model training, can be downloaded from the following [link](https://serv.cusp.nyu.edu/projects/urbansounddataset/urbansound8k.html).

Another related dataset that can be used is Google's [AudioSet](https://research.google.com/audioset/).