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Speech-to-text is technology that converts spoken words into written text, often in real time. It’s the transcription step that turns a caller’s voice into something software can read and act on.
Also called speech recognition or transcription, it’s the front door of any voice system: before software can understand or respond, it has to know what was said. Accuracy matters, especially with accents, background noise, and overlapping speech.
In an AI receptionist like handlo, speech-to-text captures what each caller says so the system can understand and respond naturally. It also feeds the written brief you receive by text, giving you an accurate record of the conversation.
Text-to-speech is technology that converts written text into spoken audio, generating a natural-sounding voice from words. It’s how software speaks back to a person out loud.
Natural language understanding (NLU) is the branch of AI that interprets the meaning and intent behind human language, not just the literal words. It lets software grasp what a person actually wants from how they phrase it.
Conversational AI is technology that lets software understand and respond in natural language, holding a genuine back-and-forth with a person rather than following a fixed script. It combines speech recognition, language understanding, and response generation.
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