ai|coustics Unveils Lark: A Revolutionary AI Model for Studio-Quality Speech Enhancement 

ai|coustics is announcing the launch of Lark, a new AI model designed to deliver studio-quality speech audio across any device, location, or language. With Lark, users can elevate their audio to professional-grade quality, using advanced reconstructive technology to repair even the most distorted recordings, restore lost frequencies, and add depth and clarity. 

“With Lark, our goal is to bring empowered audio quality to every situation,” said Fabian Seipel, co-founder of ai|coustics. “Whether you’re a content creator, journalist, or audio engineer, Lark opens up new possibilities to enhance audio quality in real-time, effortlessly.” 

Key Features of Lark: 

• AI-Driven Reconstruction: Lark’s technology repairs damaged audio signals, restoring missing frequencies and enhancing audio clarity. 
• Versatile Audio Enhancement: Perfect for repair of band-limited or codec-compressed audio signals and improving challenging recordings outside the studio. 
• Now Available on Web App: Lark is ready to use via ai|coustics’ web platform and will soon be available as an API option, expanding integration possibilities. 

Choosing Between Finch and Lark 

Lark joins ai|coustics’ existing model, Finch, offering users a choice in how they enhance their audio: 

• Finch is an AI-based subtractive model, ideal for eliminating background noise. Use Finch for environments with intense ambient sounds, like busy streets or echo-filled rooms. 
• Lark leverages AI-driven reconstruction to fill in missing audio frequencies and improve overall richness, ideal for situations requiring a more detailed and creative approach to audio restoration. 

Examples of Lark in Action: 

• Restoring clarity to archival audio with missing high frequencies. 
• Repairing tinny audio from compressed codecs, perfect for webinars or online recordings. 
• Enhancing recordings made with limited end-user devices or at a distance from the microphone. 

How Does the Technology Work? 

Lark, like Finch, is built on machine learning. ai|coustics engineers create various audio distortions during model training to simulate real-world recording challenges. Finch’s training emphasizes subtractive noise reduction, while Lark focuses on reconstructive enhancement, effectively restoring lost audio details. Both models work with the audio signal independently of content, making them adaptable to every language, accent and speaker.

What’s Next for ai|coustics? 

Following this launch, ai|coustics plans to release Lark in its API and extend access to consumer devices via an SDK. “This launch is a step toward our mission to make high-quality audio accessible for all, anywhere and anytime,” Fabian added. 

About ai|coustics 

Berlin-based startup ai|coustics combats poor speech quality and intelligibility in audio communication and content creation with Generative Audio AI algorithms for everyone, across every device. Our technology empowers media creators and audio companies to incorporate a new standard of speech quality into their products and productions, improving the way we communicate and consume content. 

Try Lark Today! 

Lark is now available on the ai|coustics web app. Discover which model best suits your needs - Finch or Lark - or use them together.