Adobe’s AI-Powered Project Sound Elevate: Revolutionizing Background Noise Management
In a pioneering endeavor, Adobe is developing an innovative audio tool known as Project Sound Elevate. This cutting-edge application aims to segregate various layers of noise present in a given audio recording. Leveraging the power of artificial intelligence (AI), Project Sound Elevate can effectively isolate distinct elements like applause amidst spoken words.
Illustrated in a demonstration video shared with The Verge, the process involves importing an audio file into the software and selecting the specific noise components for filtration. Users are presented with a diverse array of options, ranging from applause, laughter, alarms, and speech to ambient sounds like crowds, customers, and typing. Project Sound Elevate intelligently identifies each noise type, generating individual files that isolate the background noises from the desired audio track, be it a person’s voice or a musical instrument.
Subsequently, users have the flexibility to manipulate each track independently within Adobe Premiere Pro. This functionality enables users to adjust the volume of background noise while enhancing the clarity of the primary audio track. Although still in its nascent stages, Adobe’s Project Sound Elevate is showcased as part of Adobe’s “Sneak” previews, hinting at a forthcoming official release of the tool, albeit with an uncertain timeline.
While other tools like Supertone’s Clear and Goyo’s words separation offer similar capabilities for dissecting and modifying audio ambiance and reverberations, Adobe’s Project Sound Elevate stands out for its targeted noise extraction capabilities. This advanced technology is reminiscent of the methodology employed to restore and remaster the iconic Beatles track “Now and Then” after approximately three decades. In this instance, AI was instrumental in isolating John Lennon’s vocals from a cassette tape recording, exemplifying the transformative potential of AI-driven audio processing.
