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Noise cancellation improves turn-taking for AI Voice Agents
Turn-Taking is a big challenge AI Voice Agents are rapidly evolving, powering critical use-cases such as customer support automation, virtual assistants, gaming, and remote collaboration platforms. For these voice-driven interactions to feel natural and practical, the underlying audio pipeline must be resilient to noise, responsive, and accurate—especially in real-time scenarios. In a typical deployment, […]
In a typical deployment, audio streams originate from diverse endpoints like mobile applications, web browsers, or traditional telephony and are delivered via real-time communication protocols like WebRTC or WebSockets (WSS). If the user resumes speaking during the voice bot’s response generation, the pipeline seamlessly cancels the ongoing output and clears buffers, ensuring natural conversational turn-taking. Overall, these evaluations demonstrate that incorporating Krisp BVC into AI Voice Agents pipelines substantially improves turn-taking and speech recognition quality, especially in real-world scenarios where background noise and secondary conversations are prevalent.
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