Noise Cancellation: State of the Art

At 2Hz we’ve spent our last 1.5 years building a disruptive Noise Cancellation technology powered by Deep Neural Networks. And I must say it is a tough road.

In this article I’ll share with you the current state of the art for Noise Cancellation.

Before I start I want to clarify what exactly I mean by Noise Cancellation.

When I say Noise Cancellation I mean suppressing the Noise going from the caller and coming to the caller from other end. Imagine you are in a subway and you call a friend who is at the airport. By Noise Cancellation we mean suppressing the subway noise before sending to your friend (while you might still hear it) and also suppressing the airpot noise coming from their environment to you.

Active Noise Cancellation (ANC) refers to suppressing unwanted noise coming to your ears from the external environment surrounding you. For Active Noise Cancellation you typically need headphones (such as Bose QuiteComfort).

Active Noise Cancellation

In this article we will focus only on Noise Cancellation and not Active Noise Cancellation.

Continue reading Noise Cancellation: State of the Art

When AI meets Human Voice

This is the first blog post about what we do at 2Hz and I’m super excited.

At 2Hz we are building tools and APIs for Voice Manipulation.

While Voice is so fundamental in Humans’ life, we believe there are not enough tooling and technology which would enable using our Voice to its maximum extend.

We are still in early stages of Voice communications. Telecommunications enable voice to be travelled thousands of miles per second, speech to text technologies enable computers to understand our intents. And this is all magical.

However we believe that the next level of disruption in Voice technologies will happen when there is a simple tooling which allows understanding, differentiating, enhancing and manipulating Human Voices.

Imagine multiple people speaking to a machine in a busy and noisy street. Now imagine that the machine is able to separately understand what each of the people is saying (or maybe yelling), their average age, gender and mood, is able to distinguish every sound in the background and answer back to everyone in the manner necessary for it.

There are many such examples that explain what Human Voice Manipulation means. We will share these over time. The important message here is that once we understand what a human voice is we can create incredible new experiences for people.

When AI meets Human Voice beautiful things will happen.

More to come…