Amazon Transcribe and Amazon Comprehend is the correct pairing for converting call center audio into text and then determining customer sentiment from those transcripts.

Use Amazon Transcribe to convert the stored call recordings into text and then pass the transcripts to Amazon Comprehend to classify sentiment as positive negative neutral or mixed. Both services are fully managed and scale to handle tens of thousands of minutes per month so this two step flow meets the requirement for a managed speech to text and sentiment analysis pipeline.

Amazon Transcribe and Amazon Translate is not suitable because Amazon Translate provides language translation and not sentiment detection. The task requires sentiment analysis so Translate does not meet the requirement.

Amazon Polly and Amazon Comprehend is not appropriate because Amazon Polly synthesizes speech from text and does not transcribe audio into text. Amazon Comprehend handles sentiment but Polly does not provide the speech to text step needed here.

Amazon Rekognition and Amazon Transcribe is mismatched because Amazon Rekognition analyzes images and video and does not provide NLP sentiment capability. Amazon Transcribe can produce the transcript but Rekognition does not perform the text sentiment analysis.

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