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AssemblyAI details speech-to-text cleanup process

By PulseAugur Editorial · [1 sources] ·

AssemblyAI's latest blog post details the two-stage process of transforming raw speech into finished text. The first stage, recognition, involves accurately transcribing spoken words, with contextual and keyterms prompting influencing the model's understanding of domain-specific vocabulary and settings. The second stage, cleanup, removes disfluencies like filler words and hesitations, aiming to capture the speaker's intended meaning rather than a verbatim record. AI

IMPACT Explains the technical nuances of speech-to-text processing, clarifying the distinction between raw transcription and intended meaning for AI developers.

RANK_REASON Blog post explaining a technical process for a product.

Read on AssemblyAI blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AssemblyAI details speech-to-text cleanup process

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COVERAGE [1]

  1. AssemblyAI blog TIER_1 English(EN) ·

    Inside dictation cleanup: How raw speech becomes finished text

    Dictation cleanup runs in two stages that fail in completely different ways. What disfluencies are, what a rewrite removes, and the one thing it can't fix.

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