How to choose a voice for your AI voice agent

Selecting an AI phone agent voice should be treated as a product decision based on callers’ needs, brand identity, language, accent, pace, energy, and performance over real telephony audio rather than on high-quality demo playback alone. The guidance recommends defining a concise voice persona, matching callers’ accents and the voice’s recorded language where possible, and prioritizing clear, mid-range delivery for short conversational turns involving sensitive information, numbers, codes, or bad news. Because phone systems commonly compress audio to 8 kHz using μ-law or A-law, teams should test several shortlisted voices with actual agent scripts in the intended format or on real calls, evaluating intelligibility, tone, naturalness, and listener fatigue. AssemblyAI’s TTS offering is presented as supporting thousands of catalog voices across six languages, configurable voice and language settings, telephony-ready audio formats, and optional consent-based voice cloning for brands associated with a specific speaker. The proposed workflow is to define the persona, filter voices by language, accent, pace, and energy, test four to six candidates using realistic lines, explicitly configure the chosen voice in production, and reassess performance using feedback from live calls.

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