I hadn’t fully considered the extent of the possibilities, but your idea is absolutely brilliant. Imagine a workflow where an “Input Node” links to an “Audio Analyzer Node,” which then feeds data into a “Conditional Node.” This could direct the flow of audio to various plugin chains—let’s call them Node A, B, and C—based on specific conditions. The processed audio or signal can then be simultaneously routed to an array of “Output Nodes,” such as MP3, WAV, or AIFF, or alternatively be converted to different bit rates or even funneled through a “Dithering Node.” Unlike the limitations of the current batch processor, which can only handle serial exports, a node-based system allows for parallel operations.
The beauty of this lies in the construction of intricate signal and file processing architectures that not only work in parallel but can also dynamically change pathways. Existing batch processor plugins like Normalizer, Pan Normalizer, DC Remover, and others could be transformed into modular nodes. The game-changer is the flexibility to define the routing and parallel processing of signals or files. For instance, you could link a “Stereo Node” to dual “Mono Nodes,” process each seperately through a specialized “Mono Plugin Chain Node,” and then converge them via a “Mono to Stereo Node,” eventually directing them to various “Stereo Export Nodes” for parallel conversion to formats like WAV, MP3, and AIFF. You could even add conditional routing inbetween!
Although I’m not an expert, I envision two primary categories of nodes: “DSP-based” for Signal Processing and “File-based” for File Processing. There’s even the potential for hybrid nodes that allow seamless transition between DSP and file-based operations.
In summary, the potential is virtually limitless. Your node-based system could include:
- Import Nodes for file ingestion (WAV, AIFF, MP3)
- Conversion Nodes for sample rate and bit conversion
- Analyzer Nodes for audio analysis
- Processing Nodes compatible with VST 3 plugins
- Conditional Nodes for decision-based routing
- Helper and Filename Nodes for auxiliary tasks
- Export Nodes for various output formats
And these can be connected in any sequence, constrained only by the available input and output connectors on each node (which would also define their use cases within either DSP signal or file processing lanes).
Additional functionalities might include nodes that can apply alphanumeric prefixes or suffixes to filenames, based on conditions like file size or bit depth.
The advantages are manifold:
- Parallel file and signal processing
- Conditional exports based on analysis
- Advanced filename management
- AI-readiness for pattern recognition nodes
Imagine the possibilities: Say you have a three-hour ambient recording featuring a mix of thunderstorms and gentle rain. Normally, you would manually segment and process these parts. With this proposed Audio Node Builder, you could construct a complex node network that automatically segments, processes, and exports files based on specific loudness conditions—ideal for crafting bespoke sample libraries.
Expand this with AI nodes capable of pattern recognition—be it one-shot samples, drum loops, or guitar riffs—and you’re looking at an exponentially more versatile and dynamic system.
If you open up node development to the community, the system not only becomes modular and expandable but could also foster a marketplace for third-party nodes, thus multiplying the possibilities exponentially.
In short, the incorporation of “Conditional Processing” based on audio analysis is very likely a groundbreaking application. If developed with an open standard, it could unleash a tidal wave of community-created nodes, taking the concept to uncharted territories of innovation.
The node architecture itself is available on GitHub. A very popular version is also chaiNNer. Its really getting traction in Image & Video processing, but I haven’t seen it yet applied to audio processing. The principle is the same but the architecture would of course be different (DSP, File Processing aso). I guess it is only a matter of time before it will also be available for audio processing and I guess whoever gets the foot in the door first, would certainly gain a competitive edge.