But first let's understand what machine learning is :

Machine learning or "apprentissage automatique" in French is a concept that is more and more talked about in the world of computing, and that relates to the field of artificial intelligence. Still called "statistical learning", this term refers to a process of development, analysis and implementation leading to the establishment of systematic processes. To put it simply, it is a kind of program that allows a computer or a machine an automated learning, so that it can perform a number of very complex operations. The aim is to make the machine or computer capable of providing solutions to complicated problems by processing an astronomical amount of information. This offers an opportunity to analyze and highlight the correlations that exist between two or more given situations, and to predict their different implications.

As of today, you will learn to use the ml5 library. In there, you can find the ml5.soundClassifier(), which allows you to classify audio. With the right pre-trained models, you can detect whether a certain noise was made (e.g. a clapping sound or a whistle) or a certain word was said (e.g. Up, Down, Yes, No).
At this moment, with the ml5.soundClassifier(), you can use your own custom pre-trained speech commands or use the the "SpeechCommands18w" which can recognize "the ten digits from "zero" to "nine", "up", "down", "left", "right", "go", "stop", "yes", "no", as well as the additional categories of "unknown word" and "background noise"."

This is exactly what we want.

First, you need to link the part of the library you're interested in your html file. For the sound classifier, you need this one :



Then you need to upload these functions to make the IA to work.

Then you need to add the labels and the confidence the IA will tell you what sound it is.



Finally, you need to write these in your html file.

HERE YOU GO ! TEST IT AND MAKE IT YOURSELF !