Lawo’s First Audio HOME App Has All The Qualities Of An mc² DSP - And Then Some

Lawo has introduced the HOME mc² DSP app, the microservice-based equivalent of Lawo’s unrivaled A__UHD Core. A new member of the HOME Apps family, the ultra-low-latency HOME mc² DSP app is a server-based, agile audio engine. With an instantly familiar feature set, it combines the superior flexibility of the HOME Apps platform in terms of connectivity and scalability with Lawo’s legendary audio processing quality.

The HOME mc² DSP app can be used together with mc² mixing consoles or to instantiate a (virtual) mixing system at the press of a button wherever audio processing is required at short notice.

HOME mc² DSP is the audio processing companion of choice for converging video/audio production environments. With all features known from the A__UHD Core FPGA processing platform in a CPU-based package, it allows operators to spin up mc²-grade DSP processing with hitherto unthinkable granularity.

As a member of the HOME Apps platform, the HOME mc² DSP app benefits from the agility afforded by the abstraction of processing functionality from the hardware: it leverages Lawo’s Flex licensing and subscription model, allowing users to reallocate subscription credits to any available HOME App, whether audio or video, for tight budget control. It is also easy to “move” from one location—the production hub, say—to another, such as an OB truck or a remote location.

HOME mc² DSP’s primary purpose is to provide audio processing in situations where no A__UHD Core is available or where remaining within the HOME Apps realm is more practical. With this app, spinning up a processing core with the required number of DSP channels for a variety of use cases becomes a breeze.

Despite its CPU-based technology, the HOME mc² DSP app performs at the same ultra-low latency as its hardware companion. All capabilities and characteristics are so similar that operators are unable tell whether their console surface or headless mixer controls a hardware-based A__UHD Core or the mc² DSP app. Switching between the two—and back—is possible at the push of a button in the HOME UI.

The HOME mc² DSP app automatically scales with future CPU developments and can provide several thousand DSP channels where needed. With support for mono, stereo, 5.1, and NGA Immersive Mixing formats; a flexible number of AUX, GRP, and SUM busses; and much more, HOME mc² DSP is the app-based alter-ego of the A__UHD Core. Any HOME App can be stopped at any time, freeing up server capacity, Flex Subscription credits, and reducing power consumption in the process.

You might also like...

Designing IP Broadcast Systems: Part 3 - Designing For Everyday Operation

Welcome to the third part of ‘Designing IP Broadcast Systems’ - a major 18 article exploration of the technology needed to create practical IP based broadcast production systems. Part 3 discusses some of the key challenges of designing network systems to support eve…

What Are The Long-Term Implications Of AI For Broadcast?

We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…

Next-Gen 5G Contribution: Part 2 - MEC & The Disruptive Potential Of 5G

The migration of the core network functionality of 5G to virtualized or cloud-native infrastructure opens up new capabilities like MEC which have the potential to disrupt current approaches to remote production contribution networks.

Standards: Part 8 - Standards For Designing & Building DAM Workflows

This article is all about content/asset management systems and their workflow. Most broadcasters will invest in a proprietary vendor solution. This article is designed to foster a better understanding of how such systems work, and offers some alternate thinking…

Designing IP Broadcast Systems: Addressing & Packet Delivery

How layer-3 and layer-2 addresses work together to deliver data link layer packets and frames across networks to improve efficiency and reduce congestion.