For Software and Hardware Hear the Difference

HANCE removes the sounds you don't want, and enhances the ones you do want - in realtime. Custom made for telecom, post-production, aerospace, intelligence, and more.

Remove Noise

Imagine HANCE integrated in headset-microphones for realtime noise removal. Make voice communication efficient in noisy situations. Our lightweight model allows easy integration in almost any software or hardware.

Busy construction site

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Remove Echo

Room echo, or reverb, can make speech hard to interpret. Our echo removal models have won blind tests as being best in class, and run on any hardware or software.

Garage reverb

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Stem Separation

Imagine HANCE integrated in a speaker. Make any song a karaoke song by removing the vocals - or remove the drums and play along. We've invented selective hearing in realtime.

Stem separation

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Made for Your Business

Screenshot from a video call with many people

Can you hear me now?

Perfect for Video Calls

Realtime audio enhancement by HANCE is perfect for video conferences. Our lightweight custom solution can be integrated in video conferencing-software or microphone-hardware.

HANCE filters background noise, enhances speech, and balances volume in realtime, making remote meetings more productive with clear communication.

“Since integrating HANCE's API, our video conferencing software has seen a 40% reduction in support calls related to audio issues."

Steven Gerrard

CEO Soundly

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1 min read

HANCE 2.0: Realtime Stem Separation - Hello, Music Industry

Apr 23, 2024 by Sebastian Storvik

HANCE Audio Engine v2.0.1 is now live - and with it, realtime stem separation made effortless. Songs are a composition of sounds mixed together. For...

2 min read

Producing training sets for Extract: Dialogue by Acon Digital

Nov 27, 2023 by Peder Jørgensen

This article summarises the extensive experimental work we have done to develop and build a data training set for Acon Digital’s Extract:Dialogue an...

2 min read

Phase aware source separation – overcoming the limitations of the ideal time-frequency magnitude masking

Nov 27, 2023 by Stian Aagedal

Spectrogram-based methods for source separation using neural networks typically estimate a separation mask that is multiplied pointwise with the...