While many AI companies are scrambling to find ways to use the technology to enhance or recreate video, AI Resembling AI is focused on audio fidelity. The startup—which also offers an AI voice generator that businesses can use to create realistic human-like sounds—has launched ‘Resemble Enhance,' an open-source tool designed to dramatically improve the quality of historical audio.
The new service can take distorted, blurry footage of long-lost historical speech and apply AI to make it look like it was recorded or broadcast yesterday.
Canadian company Resemble Enhance is distinguished by its dual-module approach combining a sophisticated denoiser—which removes static background hums and hiss—and AI-powered speech enhancement. This combination not only removes unwanted noise but also enriches the overall sound quality.
Although there are other audio restoration products on the market, the combination of Resemble techniques can be a meaningful label.
How does it work?
Resemble AI denoiser uses UNet, an AI model that helps to distinguish different types of sounds that appear in recordings. It excels at filtering out unwanted noise from audio tracks, leaving only the speech as a focus.
Once UNet has done its job, the enhancement module kicks in, extending the audio bandwidth and correcting distortions. According to the company, this dual function ensures that the end result is not only noise-free, but also rich in up-to-date recordings.
As an open source tool, Resemble Enhance is accessible at no cost, making it a compelling option in the typically expensive media restoration services market. Primary users of Resemble Enhance are industries that rely on clear audio quality, such as podcasting, entertainment and education. Additionally, this tool offers a new lease on life for historical records, potentially providing clearer insights into the past.
The device's release comes at a time when demand for high-quality digital content is greater than ever. Meanwhile, the open source nature of Resemble Enhance makes it a potentially disruptive force in a market currently dominated by high-cost proprietary solutions.
The integration of AI in audio and video editing paves the way for more comprehensive media restoration solutions.
By combining this tool with other video enhancers, generative AI or other models to enhance and enhance images and faces – such as GPEN or the popular GFPG – users can now achieve professional results on their own computers with minimal investment.
To experiment with Resemble Enhance, users can visit the Resemble AI website or download their models from the project's official Github page.
Edited by Ryan Ozawa.
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