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Reviewed in POC · content version 3

Review Speech AI

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Definition

Speech AI covers systems that recognize, analyze, translate, or generate spoken language.
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Plain-Language Explanation

Speech AI covers systems that work with spoken language, including speech recognition, speaker or language identification, speech translation, and speech synthesis.
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Why It Matters

Speech carries language through sound, so performance depends on accents, noise, microphones, timing, and social context. Transcription accuracy alone does not cover every speech use or harm.
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Example

A call assistant transcribes a customer, identifies the spoken language, translates the request, and generates a spoken reply.
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Common Misconception

Speech AI is not the same as audio AI or natural-language processing. Speech is one kind of audio and connects acoustic processing with language tasks.
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Remember It This Way

Speech AI listens to or produces spoken language.
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Related Terms

* [[audio|Audio]] * [[natural-language-processing|Natural Language Processing]] * [[multimodal|Multimodal]] * [[video|Video]]
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Sources

* [NIST, “An Overview of Artificial Intelligence and Robotics: Volume 1”](https://nvlpubs.nist.gov/nistpubs/Legacy/IR/nbsir83-2799.pdf) — distinguishes speech recognition, speech synthesis, and speech understanding. * [Xu Tan and colleagues, “A Survey on Neural Speech Synthesis”](https://arxiv.org/abs/2106.15561) — documents text-to-speech as generation of intelligible, natural speech from text.
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Learn More

* Compare [[audio|Audio]], [[natural-language-processing|Natural Language Processing]], [[multimodal|Multimodal]], and [[video|Video]] to place Speech AI in the surrounding system. * Follow the cited source material above for the method, standard, or research context behind this draft.
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