What is Text-to-Speech (TTS)?
Quick Definition
Text-to-speech is technology that converts written text into natural-sounding spoken audio. It powers the voice that callers hear when speaking with an AI receptionist.
Text-to-Speech (TTS) explained
Text-to-speech (TTS), also called speech synthesis, is technology that converts written text into spoken audio output. Modern TTS systems use deep learning neural networks to produce voices that are nearly indistinguishable from human speech, with natural intonation, rhythm, and emotion. In AI receptionist systems, TTS is the final step in the conversation pipeline: the AI processes the caller's speech (speech-to-text), determines the appropriate response (NLP/LLM), and then speaks the response back to the caller (text-to-speech). Leading TTS providers include ElevenLabs, OpenAI, Google Cloud TTS, Amazon Polly, and Microsoft Azure Speech. Modern TTS supports multiple voices, languages, speaking speeds, and even emotional tones. For AI receptionists, voice quality is critical to caller experience — callers are more likely to trust and engage with a natural-sounding AI voice. The best AI receptionists use premium TTS with minimal latency, creating conversations that feel natural rather than robotic.
Where is text-to-speech (tts) used?
AI receptionists, voice assistants, accessibility tools, navigation systems.
Related terms
Speech-to-Text (STT)
Speech-to-text is technology that converts spoken language into written text in real time. It powers call transcription, voice search, and AI receptionist comprehension.
Conversational AI
Conversational AI is technology that enables machines to understand, process, and respond to human language in natural, human-like dialogue. It powers chatbots, voice assistants, and AI receptionists.
NLP (Natural Language Processing)
NLP is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language. It powers AI receptionists, chatbots, and voice assistants.
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