Be my ears

What we do


Be my ears is a free app that helps deaf users to distinguish specific noises. When the users turn their microphone on, the app would try to identify any dangerous sound such as a fire alarm, a dog bark, a car’s honks etc.

Credits: Canva

Our technology


The first step to build such an app is to get pre-trained models that can detect whether a certain noise was made. These models generally use the ml5.soundClassifier()which allows you to classify audio basing an estimation on sounds that have been stored. You can learn more about this on the ml5-website.
The model used for the app was trained with Google's Teachable Machine. Several noises were recorded or uploaded such as the sounds of ambulance sirens, fire alarms, dog barking and such.

Once the model is created and works properly, Google Teachable Machine allows us to upload it in two different ways. It can be uploaded as a drive document or as a code on P5js. The model and its data can be found on this drive. And its code -without the data- can be found here.

Prospective competitors and future of the field

AI can have a sizable impact in this field and similar projects are emerging such as Braci's.
Even if these apps are useful in case of danger, one needs to know that great progress has been made in the field of AI and now machine learning is used directly on hearing aids to enhance sensorial experience, perceive movements, orient microphones when one is talking and such. You can consult Vivason's website to get more information.

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