Humans are born to detect threats by staying alert to sounds.
We get nervous when we hear footsteps walking behind us in a dark street. We are all ears and alert when we are about to go to bed and hear something outside the bedroom.
With limited sight at night, or at home alone, we often depend solely on sounds to understand the surroundings.
But what about when we are distracted? Can you hear the door knock when you are listening to music wearing big headphones? Or how do I know the car behind me honked to warn me of…
We are building an AI model for Cochl.’s API and SDK that tags a sound input. We select candidates for the new sounds to be added for the next product update, manage the sound data collection process, which sometimes involves collecting by ourselves, and optimize the algorithm to be brought to the real world.
I do a lot of experimental trials to improve our algorithms. A machine learning algorithm could easily get outdated when following a standardized structure. So I constantly search for new ML algorithms that could be applied to enhance our solutions. …
Two claps, and you can turn on a lamp. Three claps, and you can switch on a TV. First released in 1985, the Clapper that allows its user to activate home appliances using sequences of claps, is often referred to as one of the earliest commercial uses of machine listening.
Imagine the following scene. A 6' tall male college student in T-shirt and running shorts is walking down an empty street at night. He hears a gunshot near him. Terrified, he screams and starts running.
Nobody’s got hurt, but a college student has certainly encountered a physical threat.
How could CCTV view this scene as threat just from looking at the moving image? Wouldn’t it look like a boy jogging at night in running shorts?
Recognizing Human Limitation
When it comes to surveillance, such as identifying suspicious activities and crimes, video monitoring often plays a crucial function.
It is however…
Make things happen @Cochl. Writer & Technology optimist. AI & human. May we together become greater than the sum of both of us.