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IBM’s Granite Speech framework employs a two-stage process: initial audio transcription is followed by a separate language-model analysis of the resulting text. This contrasts with unified models that merge speech and language generation in one step. For developers, this modular structure means speech recognition and linguistic refinement are distinct, sequential operations.
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