RNNoise: Noise Suppression with Deep Learning


(my blog has moved this is just a copy of this post)

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!).

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Opus 1.2 is out!

Opus gets another major upgrade with the release of version 1.2. This release brings quality improvements to both speech and music, while remaining fully compatible with RFC 6716. There are also optimizations, new options, as well as many bug fixes. This Opus 1.2 demo describes a few of the upgrades that users and implementers will care about the most. You can download the code from the Opus website.

Daala: Perceptual Vector Quantization (PVQ)

Here's my new contribution to the Daala demo effort. Perceptual Vector Quantization has been one of the core ideas in Daala, so it was time for me to explain how it works. The details involve lots of maths, but hopefully this demo will make the general idea clear enough. I promise that the equations in the top banner are the only ones you will see!

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xiph, opus

Opus 1.1 released

Opus 1.1
After more than two years of development, we have released Opus 1.1. This includes:

  • new analysis code and tuning that significantly improves encoding quality, especially for variable-bitrate (VBR),

  • automatic detection of speech or music to decide which encoding mode to use,

  • surround with good quality at 128 kbps for 5.1 and usable down to 48 kbps, and

  • speed improvements on all architectures, especially ARM, where decoding uses around 40% less CPU and encoding uses around 30% less CPU.

These improvements are explained in more details in Monty's demo (updated from the 1.1 beta demo). Of course, this new version is still fully compliant with the Opus specification (RFC 6716).