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Recent developments in generative artificial intelligence are spurring innovation in DAW software. A research paper from Georgia Tech, titled Composing with Generative Systems in the Digital Audio Workstation, proposed the term Generative Audio Workstation to describe this emerging class of DAWs. [1]
Three examples of notable GAWs are AIVA, WavTool, and Symphony V. AIVA provides parameter-based AI MIDI song generation within a DAW. WavTool offers a browser DAW equipped with a GPT-4 composition assistant and AI text-to-sample generator. Symphony V provides generative vocal synthesis, note editing, and mixing tools. [2]
Generative AI services have also become available through plugins that integrate with conventional DAWs, such as Izotope Neutron 4, TAIP, and Synthesizer V. Neutron 4 includes a "mix assistant" that uses machine learning to analyze audio and automatically apply processing effects. TAIP provides tape saturation powered by AI neural networks that imitate traditional DSP processing. Synthesizer V offers several AI vocalists whose notes can be manipulated. [3]
To reduce the strain on computer memory, some plugin companies developed thin client VSTs that use resources from a cloud server. For example, the audio-to-midi plugin Samplab offers a desktop application with user authentication and API calls that perform stem separation and MIDI transcription off of the computer's local device. [2] This can improve load speeds or prevent applications from crashing.