Noah Kadner

Comparison of DAWs for Immersive Audio Immersive audio has experienced significant growth in recent years, driving the evolution of digital audio workstations (DAWs). Choosing the right DAW is essential to optimize workflow in projects that require advanced sound processing and spatialization. This article provides a comparative analysis of the most widely used DAWs in immersive audio production, detailing their technical features, limitations, and specific application criteria for these formats. This resource is valuable for professionals seeking to understand the particularities of each platform and make informed decisions in the development of immersive sound content. https://lnkd.in/daSW5GmJ #audio #pluginsaudio #productionaudio #software #binauralaudio #DAW #immersiveaudio #spatialaudio

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How to move AVID bins including metadata to DaVinci Resolve Moving bins and metadata from one application to another can be difficult sometimes. In this tutorial I will explain how to move bins including metadata from AVID Media Composer to DaVinci Resolve. https://lnkd.in/dWw7eKY9 And I have written a small freeware application, MetadataConverter which you can find here: https://lnkd.in/dKK5NBhN It helps you convert the .txt file from AVID to a .csv file for Resolve as described in the tutorial.

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Should you use a broadcast audio processor on your online streams? Here's what Jeffrey Keith of Wheatstone Corporation has to say about that: "On-air processors are the worst processors for streaming because they trick the codec into mistaking its normal processing artifacts for audio; clipping distortion byproducts and non-audio signals are treated just like audio by the codec and often even amplified by it. Still, you’re going to need to process your internet streams for all of the same reasons you use processing for your on-air signals. Just like your on-air signal, those streams need to be processed for level consistency, spectral balance and absolute peak control too and to keep the codec’s input level below 0 dBFS (above that point you’re 'out of bits')." Jeff and other audio experts shared tips and best practices about audio processing with me in this free Radio World ebook. https://lnkd.in/eRGg4-R8

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Big update to the 3D AI Canvas on aianimation.com The latest release makes it easier than ever to build, restyle, and iterate on your scenes using powerful AI tools and 2D/3D assets: 🔹 New Features Projects now saved securely in the cloud Integrated Poly Pizza 3D asset library (+ upload your own models) Major improvements to AI-powered 3D scene restyling Support for Kling 2.1 video generation (7 video models now available) Generate images (with optional transparency) and drop them straight into your scene Main Camera field of view settings. (*plus scene editing view and orthographic support) 🎬 New Canvas View Build multi-scene 3D projects with flexible scene linking Link assets or entire scenes to speed up world-building Restyle prompts, models, cameras, and environment settings can be linked or independent per scene Drag & drop to reuse or duplicate scene elements effortlessly Still in early access — but evolving fast. Would love your thoughts or feedback! #AIAnimation #3DTools #GenerativeAI #CreativeTech #WebGL #AIforCreators

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Voiceover work has dropped sharply across the industry. AI voices are filling the gap, whether we like it or not. Rather than resist, we’re embracing the best tools available while keeping human talent for when nuance and creativity are critical.

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AI breakthrough of the hour. GPU Audio (now Soundcore for Pro Audio) have announced the release of their new SDK Module, for Real Time Source Separation. This new module allows for low-latency source separation for audio applications in live shows, music production, and more. AI on a GPU (not the CPU) provides a neural network adapted for real-time low-latency applications. Opening huge potential for remixing and noise-cancelling audio streams in real time - for live shows and many other applications. Link to the free SDK here: https://gpu.audio/sdk

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The Challenge of Noise & Film Grain in Video Compression Block-based encoders (H.264, H.265, VVC) struggle to reconstruct fine structures like image noise or film grain at low bitrates. Why? They break images into blocks and must aggressively quantize—meaning discard—high-frequency components (where noise resides) for compression. The result: unnaturally smooth or "blocky" areas where organic grain should be. AV1 Film Grain Synthesis & Smart Pre-processing: The Solution This is where AV1 and its Film Grain Synthesis (FGS) come in! Instead of painstakingly compressing film grain, AV1 analyzes its characteristics and stores them as metadata. The decoder then synthetically generates the grain. This means massive compression efficiency alongside aesthetic quality, as the grain is precisely recreated. However, AV1's internal denoising filters are often insufficient. For optimal results, a combination is key: Intelligent Pre-processing:  A system like IRIS precisely removes original noise or film grain, creating a "clean" image for the encoder. https://waveletbeam.com/ Efficient AV1 Encoding: AV1 then compresses this pre-processed material with maximum efficiency. Film Grain Synthesis:  AV1 FGS ensures the grain is authentically re-synthesized on the decoder side. If your video content doesn't require subsequent grain addition (e.g., clean digital footage), a pure, high-quality pre-processing by IRIS alone can be enough. Any codec will benefit from the improved compressibility of noise-free material, delivering higher image quality at the same bitrate. The future of video compression lies in the interplay of intelligent codecs and smart pre-processing! #VideoCompression #AV1 #FilmGrainSynthesis #H264 #H265 #VVC #VideoTech #ImageQuality #Compression

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NAB2025 was not what I expected. The biggest thing I noticed was lack of hardware. Cloud and NDI were everywhere. In fact, it was the year of NDI. The big legacy hardware vendors all had an NDI offering at various stages of development. “NDI compatible“ signs were everywhere. Everyone is asking for less upfront cost, more flexibility. You can’t always do that with traditional hardware. Even the big boys (think 3 and 4 letter networks) are adopting cloud. #cloudproduction #controlroom #cloudflex

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