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Research &

Development


Multiple algorithms. One goal : pushing sound beyond.

Research &

Development

Our Technology


At DAM-Audio, innovation is at the heart of everything we do. Our proprietary algorithms are the result of years of research and development, designed to push the boundaries of 3D spatialization, signal optimization, and immersive sound calibration. 


Each algorithm is meticulously crafted to deliver unmatched precision, efficiency, and adaptability, ensuring your audio products stand out in clarity, depth, and performance. Whether you’re integrating our solutions into car audio systems, high-end speakers, or embedded devices, you’re leveraging technology built to elevate sound experience; anywhere, every time.


Our technology runs in automotive systems, consumer electronics, professional installations, and broadcast infrastructure.


Each algorithm solves a specific problem in the audio chain. They work independently or together as a complete spatial audio pipeline.


DSP Algorithms


HSR - Upmix


Stereo In → Multichannel Out


HSR analyzes stereo content and distributes it across any number of output channels. Unlike simple matrix upmixers, HSR preserves the original spatial impression while expanding it to fill your speaker array.


Key capabilities:

  • Correlation-based spatial extraction
  • Preserves original stereo image and timbral balance
  • Adapts to any output configuration (5.1 to 16+ channels)
  • Real-time, low-latency processing

Applications: Live sound, installations, broadcast, automotive



Learn more about HSR


ISE — Spatial Positioning


Place sounds anywhere in 3D space


ISE positions virtual sound sources within a real speaker array. Define a source position in x/y/z coordinates, and ISE calculates the optimal gain and delay for each speaker to create accurate localization.


Key capabilities:


  • Delay and Gain panning with extended focus control
  • Works with any speaker configuration
  • Per-source distance attenuation and spread
  • Lightweight enough for embedded platforms

Applications: Gaming, VR/AR, installations, object-based mixing



Learn more about ISE

BSE — Binaural Rendering


Multichannel → Headphones


BSE renders multichannel or object-based audio for headphone playback. Using parametric HRTF modeling, it creates convincing externalization and spatial positioning without the processing overhead of full convolution.


Key capabilities:

  • Parametric ITD/ILD modeling
  • Head tracking support
  • Configurable HRTF personalization
  • Low CPU footprint

Applications: Headphone monitoring, mobile audio, VR, accessibility



Learn more about BSE


VRA — Spatial Reverb


Room simulation for 3D audio


VRA simulates acoustic spaces for spatial audio systems. Unlike stereo reverbs, VRA produces spatially coherent reflections that integrate naturally with positioned sources.



Key capabilities:

  • Early reflections with directional accuracy
  • Late reverb with proper spatial diffusion
  • Room size and material modeling
  • Per-source send architecture

Applications: Virtual acoustics, post-production, gaming, installations



Learn more about VRA


HCC — Downmix & Bass Management


Many channels → Few channels, cleanly


HCC sums multiple channels to fewer outputs without phase cancellation or clipping. Essential for downmixing, fold-down, and subwoofer management where naive summing destroys the signal.


Key capabilities:

  • Correlation-aware summing prevents phase cancellation
  • Automatic gain staging prevents clipping
  • Configurable crossover for bass management
  • Any input count to any output count

Applications: Broadcast, automotive, consumer electronics, monitoring



Learn more about HCC


ICS — Comb Filter Correction


Fix interference before it happens


ICS detects and corrects comb filtering caused by correlated signal coming to the same speaker. When used with spatial audio systems, ICS ensures that upmixed or spatialized content doesn't suffer from the hollow, phasey sound of destructive interference.


Key capabilities:

  • Real-time comb detection
  • Adaptive inverse filtering
  • Works with any spatialization system
  • Minimal latency impact

Applications: Multi-speaker arrays, sound reinforcement, PA systems



Learn more about ICS


How do they work together



Our algorithms can operate independently or as an integrated pipeline:


  • HSR upmixes stereo FOH output to 7.1
  • ISE positions those created sources in space
  • ICS corrects comb filtering from the multiple sources
  • HCC manages the subwoofer crossover
  • HSR upmixes stereo music to the car's speaker array
  • VRA adds subtle room simulation for spaciousness
  • HCC handles seat-specific downmixing and bass management
  • BSE renders spatial audio for headphones
  • VRA adds room simulation for externalization

To achieve the highest standards of audio reproduction, we’ve equipped our studio with:


  • Atmos-configured Devialet Custom Speakers: For full-band, immersive sound reproduction.

  • Genelec Speakers: For accurate, custom system monitoring when needed.

  • Merging Technologies & RME Sound Cards: Ensuring pristine audio conversion and processing.

  • Dante/AES67 Network: Connecting multiple computers for seamless workflow integration.

  This setup allows us to handle everything from traditional stereo mastering to cutting-edge immersive audiomixing, with the flexibility to adapt to any project’s nee

Mastering




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Integration



All algorithms are available in different formats


FormatUse Case
C/C++ sourceEmbedded systems, custom hardware
Plugin (VST3/AU/AAX)DAW integration, production tools
Standalone appdirect deployment , product development


Licensing


All our algorithms are available for OEM integration through a one-time licensing fee per brand. Licensees receive full access to source code and DSP implementation, enabling deep integration with game engines, spatial audio renderers, professional audio tools, and custom spatialization systems.

The licensing model supports diverse integration contexts. Technical support covers integration architecture, optimization for specific platforms, and guidance on data exchange with existing spatialization infrastructure.



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