Acoustic echo cancellation (AEC) is the process of detecting and removing echo from voice calls, ensuring that the person on the other end hears only what’s intended. Echo occurs when a speaker’s voice is picked up by their own microphone and sent back through the call, creating a feedback loop. In regulated industries, even a split-second delay or repeated phrase can compromise both customer experience and compliance.

The Science of Echo Cancellation

Modern AEC algorithms analyze the incoming and outgoing audio streams in real time. They identify the echo path—how sound travels from speaker to microphone—and subtract the unwanted echo from the signal. This is not a one-size-fits-all process. Factors like device type, network latency, and background noise all affect how echo is generated and must be addressed by the cancellation system.

There are two main approaches:

• Hardware-based echo cancellation: Built into telephony devices or conference hardware, offering low latency but limited flexibility.

• Software-based echo cancellation: Integrated into platforms like Feather AI, allowing for rapid updates and adaptation to new environments, devices, and languages.

Competitors such as Vapi and Retell AI may offer varying levels of echo cancellation, but the key differentiator is how seamlessly the technology integrates with compliance requirements and real-time monitoring. For regulated industries, it’s not just about removing echo—it’s about doing so reliably, at scale, and with full auditability.