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”

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[Step-by-Step] Creating your own #Aspnet C# Bot using the #MicrosoftBot framework:  #AI

  • The emulator needs the Bot URL, the Bot app id, and the Bot Secret to communicate with your Bot API.
  • The article will help you create your own ASP.NET Bot using the Microsoft Bot Framework.
  • 5. Wait: suspend current dialog until the user has sent a message to the bot.
  • The following is a step-by-step guide to create your own conversational bot in ASP.NET C#:
  • To test your application you can use the Bot Framework Emulator.

Read the full article, click here.


@msdevUK: “[Step-by-Step] Creating your own #Aspnet C# Bot using the #MicrosoftBot framework: #AI”


Creating an ASP.NET C# Bot using the Microsoft Bot Framework


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