EchoKompensation

EchoKompensation is a set of techniques in audio engineering aimed at reducing or removing unwanted echoes and late reflections in acoustic and telecommunication systems. The term is used in German-language texts and is often treated as part of the broader field of echo cancellation and room acoustics. The primary objective is to preserve or restore the clarity of the desired signal by mitigating reflected copies that degrade intelligibility and quality.

In digital signal processing, echo compensation typically involves estimating the echo path—the effect of a loudspeaker's output being reflected back into a microphone—and subtracting the estimated echo from the microphone signal. This is usually done with adaptive filters that adjust in real time to changing echo paths due to movement or room changes. In room acoustics, compensation can also involve impulse response measurement and equalization, or active control using loudspeakers and microphones to suppress problematic reflections.

Common methods include adaptive echo cancellation (AEC), where an estimated echo is subtracted; non-linear processing to handle loudspeakers that introduce distortion; and techniques like pre-cancellation, phase alignment, and time-alignment to align signals. Algorithms such as LMS (least mean squares) or RLS (recursive least squares) are widely used.

Applications range from telephony and video conferencing to hearing aids, automotive cabin systems, and virtual reality environments, where maintaining speech intelligibility and audio quality is important. Effective echo compensation improves perceived clarity, reduces listening effort, and enhances user experience.

Limitations include residual echoes during double-talk, non-linearities from loudspeakers, and computational demands. Accurate modeling of the echo path and calibration is essential, and real-time constraints can limit performance in some environments.