Text-to-speech
Producing synthetic spoken output from written text.
What is text-to-speech?
Text-to-speech, or TTS, produces spoken output from text. Depending on the system, voice, pauses and pronunciation of particular information can be controlled. The application chooses what should be spoken using its data and rules. Speech synthesis itself does not check business correctness or whether an announced action actually happened.
A fictional assistant has saved a service request. “Your request has been received” fits that state. It must not become “Your appointment is confirmed” just because that sounds fluent. Appointment confirmation requires an actually confirmed appointment record in the system. The team plans listening checks for clarity, names, abbreviations and identifiers. Content and pronunciation thus each receive suitable checks.
Sources
Related terms
- Speech-to-textConverting spoken language in audio data into written text.
- Multimodal AIAI using several information types, such as text, images or sound, in inputs or outputs.
- AI chatbotAn AI chatbot supports dialogue using AI. A clear answer is not the same as a business operation actually completed.
- Model cardA model card documents an AI model’s purpose, foundations, evaluation conditions and known limitations for a particular version.
- AI readinessAI readiness concerns the foundations of an AI project: objectives, usable data, skills, responsibilities and an operating workflow.
- Context engineeringContext engineering prepares information for individual model calls: relevant instructions, messages, sources and current states.
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