jmvalin: (Default)
[personal profile] jmvalin
banner

This demo presents the RNNoise project, showing how deep learning can be applied to noise suppression. The main idea is to combine classic signal processing with deep learning to create a real-time noise suppression algorithm that's small and fast. No expensive GPUs required — it runs easily on a Raspberry Pi. The result is much simpler (easier to tune) and sounds better than traditional noise suppression systems (been there!).

Read More

RESIDUAL NOISE PROBLEM

Date: 2017-10-09 08:21 am (UTC)
From: (Anonymous)
Hi Jean Marc,
According to the audio samples you provided, it seems that the RNNoise has more residual noise than the speex. Do you think it will perform better with more noise samples for training?

Profile

jmvalin: (Default)
jmvalin

March 2023

S M T W T F S
   1234
567891011
12131415161718
1920212223 2425
262728293031 

Most Popular Tags

Page Summary

Style Credit

Expand Cut Tags

No cut tags
Page generated Jul. 7th, 2025 09:47 pm
Powered by Dreamwidth Studios