Mikhail Baranov

Published in Towards Data Science

·Feb 24, 2019

Recurrent Neural Active Noise Cancellation

RNN predicts a structured noise to suppress it in a complex acoustic environment — In my previous post I told about my Active Noise Cancellation system based on neural network. Here I outline my experiments with sound prediction with recursive neural networks I made to improve my denoiser. The noise sound prediction might become important for Active Noise Cancellation systems because non-stationary noises are…

Machine Learning

3 min read

Machine Learning

3 min read

Published in Towards Data Science

·Jun 25, 2018

Acoustic Noise Cancellation by Machine Learning

DIY Noise-Cancellation System prototype made with TensorFlow. — In this post I describe how I built an active noise cancellation system by means of neural networks on my own. I’ve just got my first results which I am sharing, but the system looks like a ravel of scripts, binaries, wires, soundcard, microphone and headphones, so I am not…

Machine Learning

6 min read

Machine Learning

6 min read

Dec 16, 2016

How I was listening to a sine sweep all day long

I’ve just made some experiments with Room Response Estimation method described in “Simultaneous measurement of impulse response and distortion with a swept-sine technique” Angelo Farina [1]. The code measures Impulse Response of the room by playing a probe impulse (just specially prepared audio-signal) and recording the sound which appears to…

Dsp

9 min read

How I was listening to a sine sweep all day long

Dsp

9 min read