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Noise Cancellation
We implement noise cancellation for embedded devices, conferencing apps, and audio products. Real-time processing that runs on edge hardware without cloud dependency.
Voice & Audio AI
Audio processing tools
Production-ready noise cancellation for your platform.
Optimized noise cancellation for your hardware and environment.
Audio pipeline integration with your application.
Objective and subjective audio quality testing.
Technical documentation and tuning guides.
A structured approach to audio AI development.
Define audio quality targets, hardware constraints, and latency requirements.
Choose or train noise cancellation models for your use case.
Optimize for your target hardware—ARM, DSP, or GPU.
Integrate with your audio pipeline and validate quality.
Flexible options for audio AI projects.
Integrate existing NC solutions into your product.
$20,000 - $35,000
Train and optimize custom models for your environment.
$40,000 - $70,000
Ongoing optimization and model updates.
$6,000 - $15,000/mo
Results from noise cancellation implementations.
"Call quality scores improved 40% after NC integration. Customer complaints about noise disappeared."
"Runs on our ARM chip with <15ms latency. Users don't notice any delay."
"Works in noisy environments where competitors failed. Our edge over the market."
"Call quality scores improved 40% after NC integration. Customer complaints about noise disappeared."
Modern ARM Cortex-M4+, any x86, or dedicated DSPs. We optimize for your specific target.
We implement AEC alongside noise suppression for full-duplex voice applications.
Yes. We train on your environment's noise profiles for better performance than generic models.
10-20ms typical for real-time applications. Lower possible with DSP-specific optimizations.
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