Text-to-speech (TTS), also called speech synthesis, is the technology that generates spoken audio from written text. Early TTS systems produced robotic, monotone speech, but modern neural TTS systems produce voices that closely match human speech in terms of intonation, rhythm, and naturalness. TTS is the final step in an AI voice pipeline: the system decides what to say, that decision is expressed as text, and TTS converts it to audio that the caller hears. The quality of TTS significantly affects how customers perceive an AI receptionist, as a natural-sounding voice builds trust while a robotic voice creates friction.
First impressions on the phone matter. A professional, clear voice establishes credibility with callers. Modern TTS systems can match brand tone, maintain appropriate pacing, and even express warmth and urgency appropriately. For home service businesses that rely on phone relationships, TTS quality directly affects caller conversion rates.
AutoRev uses high-quality neural TTS to ensure your AI receptionist sounds professional and approachable. You can customize the voice, speaking pace, and greeting style so the AI sounds like a natural extension of your business.
Technology that automatically converts spoken audio into written text, enabling computers to process and understand what a person has said.
Artificial intelligence that processes spoken language, enabling machines to listen to, understand, and respond to human speech in real time.
Technology that enables computers to understand and respond to human language in a natural, dialogue-based way, powering voice assistants, chatbots, and AI receptionists.
An AI-powered virtual agent that answers phone calls, captures customer information, and books appointments without human intervention.