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MrAssistant connects speech recognition, speech synthesis, and language models through a provider model. Product teams care about latency, accent coverage, and cost; engineering teams care about compatibility and rollout.

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Speech to text

Choose transcribers that match your languages and noise environments. Retail, mobility, and support lines often have very different acoustic profiles.

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Text to speech

Pick voices that fit brand and clarity. Multilingual products may need per-locale voices rather than a single default.

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Language models

Balance quality, speed, and cost. Voice conversations reward models that behave well under short user turns and interruptions. When you are unsure where to start, use any recommended configuration your deployment exposes, then tune with real callers rather than only synthetic tests.

Multilingual

Agents overview