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Cartesia published a guide on selecting voice AI models for enterprise voice agents, emphasizing that real-world performance depends on use-case-specific conditions such as telephony infrastructure, noise, and conversational dynamics. The guide recommends evaluating models on metrics like Time-to-Complete-Transcript (TTCT) rather than Time-to-First-Token, and highlights the importance of turn detection and interruption handling.
From the source
If your intended use case is a conversational AI Agent that handles customer conversations over the phone, in noisy environments, you need to investigate whether the models you use are designed to handle these all-too-real scenarios.
cartesia.ai