• HANCE offers embedded real-time AI audio enhancement solutions for hardware and software developers in consumer electronics, communications, and professional audio sectors.
• The platform features ultra-low-latency models that effectively remove noise, cancel echo/reverb, and isolate individual audio stems during live playback.
• Model sizes are compact, starting at a few hundred kilobytes, with latency as low as 10 milliseconds, making it suitable for on-device (CPU/ARM) integration.
• The technology ensures premium audio clarity without reliance on cloud solutions.
• HANCE also provides custom model services, SDKs/APIs, and integration pathways for manufacturers looking to embed advanced audio enhancement in their products.
Ultra-low latency processing (down to approx. 10 ms) for live audio applications
Very compact model sizes (from ~242 KB) making them deployable on embedded/edge devices
Noise removal models that suppress background hums, industrial noise or ambient interference
Echo and reverb removal models for clearer speech in reflective/hardware-compromised spaces
Stem separation models that isolate vocals, instruments, drums and bass in real time
APIs and SDKs for integration into C, Python, HTTP and embedded platforms
CPU-efficient algorithms allowing usage on low-power cores (e.g., ARM Cortex-A53)
Custom model creation service for enterprises with unique audio-processing demands
Broad use-case support: conferencing, hearing aids, consumer electronics, music production
On-device processing for privacy-preserving audio enhancement (no cloud dependency)
What does HANCE do for audio in real time?
HANCE’s AI engine removes unwanted noise, cancels echo/reverb, and isolates instrument or vocal stems live, providing clearer, more intelligible and professional-grade audio.
How can HANCE be integrated into my product or platform?
HANCE offers SDKs and APIs (C, Python, HTTP) as well as lightweight model libraries that can be embedded in software or hardware devices; custom integrations are also available.
What makes HANCE different from other audio-enhancement solutions?
Its combination of ultra-low latency, very small model size, edge/embedded compatibility and real-time stem separation set it apart from many cloud-based or desktop-only tools.
Who benefits most from using HANCE?
Device manufacturers (headsets, hearing aids, speakers), software developers (conference tools, streaming apps), music producers/engineers requiring live stem isolation and anyone needing embedded audio enhancement.
Does HANCE process audio locally or does it require cloud access?
Processing is designed to run on-device with very low latency, avoiding the need for cloud-based processing and improving privacy and responsiveness.