Kranky Geek Schedule for Today

11:00 Eastern
~10 min
Kranky Geek

Welcome to Kranky Geek

Glad to have you here, we will review what happened with WebRTC in 2022 and how is that affecting our event today and the future for all of us.

11:10 Eastern
~ 30 min
Open Source

Roundtable: The state of Open Source in WebRTC

With WebRTC entering a maturing stage and growing adoption of commercial products, is there still room for open source to survive? Some of the leading open source projects – Janus, Jitsi, mediasoup, and Pion – will discuss how open source had changed and what’s next in this exciting panel discussion.

11:40 Eastern
~ 20 min

AI in Google Meet

Google, well known for its AI focus, will discuss its approach and learnings from adding AI features to Google Meet.

12:00 Eastern
~20 min

Performant Real Time Audio ML in the Browser

Machine Learning is great at noise suppression and cleaning up audio. The challenge: doing this in real-time, cost-effectively in the browser for WebRTC calling. Krisp will cover best practices for real-time audio pipelines leveraging the latest JavaScript APIs and WASM.

12:20 Eastern
~ 10 min
12:30 Eastern
~ 20 min

Making sense of WebRTC statistics

Collecting WebRTC statistics is a no brainer. Collecting more statistics about network conditions is a known problem as well. But what about figuring out based on such statistics what the issue is? In this session, we’ll go over our own processes in unraveling statistics to assist troubleshooting WebRTC connectivity and quality issues.

12:50 Eastern
~ 30 min

WebRTC annual update 2022

Google will provide insights on what they have been working on and will share their annual roadmap update.

13:20 Eastern
~20 min

Compositing in the cloud with native pipelines

Compositing in the cloud with native pipelines (not browsers) to scale streaming and recording with 1000s of participants

13:40 Eastern
~10 min
~20 min

WHIP and WHEP: Standardized Live Streaming with WebRTC

Hear how to replace RTMP and HLS with ultra-low-latency WebRTC streams leveraging these new protocols that are establishing a foothold in the broadcasting industry.

~20 min

Using Video Forward Error Correction to improve game streaming quality

Game streaming is a demanding use-case that requires high-bitrate ultra-low-latency video without freezes. Forward error correction is a technique that allows NVIDIA’s GeForce NOW to deliver a smooth experience even when there is packet loss on the network. We will explain how this feature was implemented and measured.

~20 min

Advances in audio codecs

When WebRTC launched in 2011, it came with a new audio codec called opus which remains a great choice today. We will review contenders like the machine-learning based Lyra and Satin codecs and reliability mechanisms like RED and FEC to see how they give even better quality.