The algorithms and processing written by Adaptive Digital Technologies for this demonstration correct for the problems that are found in microphone array and loud-speaker applications. Beamforming (BF), noise reduction (NR) and adaptive filtering algorithms focus the processing system on speech as the critical audio signal and filter out other high-frequency and low-frequency signals in the environment. Non-linear processing helps account for the artifacts introduced by the acoustic characteristics of the system. HD AEC is responsible for removing the echo coming from the 2-way real-time nature of the communication. Anti-howling and double talk detection work to balance audio signals, remove jitter in the transmitted signal and improve the overall quality of the final signal.

The HD AEC features very fast convergence and demonstrates virtually no audio artifacts being transmitted based on a changing environment on the near-side. The HD AEC handles echo tails of up to 128 ms. A long echo tail allows the echo canceller to listen longer for audio reflections to remove. Short tail lengths mean a greater likelihood that acoustic echoes will be transmitted. Being a programmable DSP-based solution, the HD AEC is customizable for shorter or longer tail lengths (based on available processing resources) to more accurately suit the system environment.