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MLS-C01 · Question #187

MLS-C01 Question #187: Real Exam Question with Answer & Explanation

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Machine Learning Implementation and Operations

Question

A company wants to use automatic speech recognition (ASR) to transcribe messages that are less than 60 seconds long from a voicemail-style application. The company requires the correct identification of 200 unique product names, some of which have unique spellings or pronunciations. The company has 4,000 words of Amazon SageMaker Ground Truth voicemail transcripts it can use to customize the chosen ASR model. The company needs to ensure that everyone can update their customizations multiple times each hour. Which approach will maximize transcription accuracy during the development phase?

Options

  • AUse a voice-driven Amazon Lex bot to perform the ASR customization. Create customer
  • BUse Amazon Transcribe to perform the ASR customization. Analyze the word confidence
  • CCreate a custom vocabulary file containing each product name with phonetic
  • DUse the audio transcripts to create a training dataset and build an Amazon Transcribe

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Topics

#Amazon Transcribe#ASR Customization#Custom Vocabulary#Managed ML Services
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