Urban Sound Classification with Neural Networks in Tensorflow

Urban Sound Classification with #NeuralNetworks in Tensorflow #KDN

  • In this blog post, we will learn techniques to classify urban sounds into categories using machine learning.
  • Today, we will first see what features can be extracted from sound data and how easy it is to extract such features in Python using open source library called Librosa.
  • Fortunately, some researchers published urban sound dataset.
  • It contains 8,732 labelled sound clips (4 seconds each) from ten classes: air conditioner, car horn, children playing, dog bark, drilling, engine idling, gunshot, jackhammer, siren, and street music.
  • In this dataset, the sound files are in .


This post discuss techniques of feature extraction from sound in Python using open source library Librosa and implements a Neural Network in Tensorflow to categories urban sounds, including car horns, children playing, dogs bark, and more.

Continue reading “Urban Sound Classification with Neural Networks in Tensorflow”

Urban Sound Classification with Neural Networks in Tensorflow

Urban Sound Classification with #NeuralNetworks in Tensorflow

  • In the dataset, the sound files are in .wav format but if you have files in another format such as .mp3 , then it’s good to convert them into .wav format.
  • To get the dataset please visit the following link and if you want to use this dataset in your research kindly don’t forget to acknowledge.
  • In the blog post, we will learn techniques to classify urban sounds into categories using machine learning.
  • How about teaching computer to classify such sounds automatically into categories!
  • The post discuss techniques of feature extraction from sound in Python using open source library Librosa and implements a Neural Network in Tensorflow to categories urban sounds, including car horns, children playing, dogs bark, and more.


This post discuss techniques of feature extraction from sound in Python using open source library Librosa and implements a Neural Network in Tensorflow to categories urban sounds, including car horns, children playing, dogs bark, and more.

Continue reading “Urban Sound Classification with Neural Networks in Tensorflow”

Urban Sound Classification using Neural Network

Urban Sound Classification w/ Neural Networks:  #abdsc #BigData #DataScience #MachineLearning

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  • How about teaching computer to classify such sounds automatically into categories!
  • Added by Tim Matteson 0 Comments 0 Likes
  • Earlier blog posts covered classification problems where data can be easily expressed in vector form.
  • In the blog post, we will learn techniques to classify urban sounds into categories using machine learning.

We all got exposed to different sounds every day. Like, the sound of car horns, siren and music etc. How about teaching computer to classify such sounds automa…
Continue reading “Urban Sound Classification using Neural Network”

Intelligence Agents

-  behind @TensorFlo is the @google Open Source Library for #AI #ArtificialIntelligence

  • The doors have swung open as google reveals its source library for some it’s top artificial intelligence.
  • studios | July 23, 2016, 11:03 am | Posted in A.I. and tagged AI , Artificial Intelligence , Google Brain Team , itstudios , TensorFlow .
  • Courses are available online to learn more about the uses of artificial intelligence.
  • The Google Brain Team is not the only group letting these new rule-based systems loose to the public.
  • The Open Source Library is updated frequently with new tools to enhance your the quality of your data base.

Read the full article, click here.


@itstudiosnyc: “- behind @TensorFlo is the @google Open Source Library for #AI #ArtificialIntelligence”


The Google Brain Team has opened the doors to the open source for it’s top artificial intelligence. TensorFlow is the company behind Google’s A.I. Tech.


Intelligence Agents