Hance.ai provides embedded real-time AI audio enhancement solutions designed for manufacturers and developers in various audio-related industries. With processing speeds down to 20 milliseconds, Hance.ai ensures minimal latency, making it ideal for applications requiring instant audio processing, such as live voice communication, video conferencing, and music production. It offers features like real-time noise removal, echo removal, and stem separation, allowing control over individual audio components. Hance.ai is lightweight, with a library size of 5 MB and models ranging from 253 KB to 4 MB, making it a low-cost and compute-efficient solution. Hance.ai is compatible with various hardware and software, from basic devices to advanced systems, promoting easy integration for diverse use cases.
• stem separation
• echo removal
• low latency processing
• realtime noise removal
• lightweight and compute-efficient solutions
HANCE provides machine learning algorithms that enhance audio in real-time by removing unwanted sounds and enhancing desired ones.
HANCE can be used by developers, hardware engineers, professionals in post-production, and anyone needing improved audio quality in various industries.
HANCE offers an SDK in multiple languages (Python, C, Swift) for easy integration into your products.
Stem separation is the process that allows controlling the volume of individual elements like vocals and instruments in audio playback.
You can test HANCE using their drag-and-drop demo tester on the website.
Realtime AI audio enhancement for audio hardware and software.
Realtime AI audio enhancement for audio hardware and software.
Realtime AI audio enhancement for audio hardware and software.
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A federated AI framework that integrates decentralized data sources for AI development.
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