Topic 1 Question 28
A company is using Amazon Polly to translate plaintext documents to speech for automated company announcements. However, company acronyms are being mispronounced in the current documents. How should a Machine Learning Specialist address this issue for future documents?
Convert current documents to SSML with pronunciation tags.
Create an appropriate pronunciation lexicon.
Output speech marks to guide in pronunciation.
Use Amazon Lex to preprocess the text files for pronunciation
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SSML is specific to that particular doument, like W3C an be pronounced as "World Wide Web Consortium" using <sub alias="World Wide Web Consortium">W3C</sub> in that specific document and when you create a new document, you need to format again. But with LEXICONS, you can upload a lexicon file once and ALL the FUTURE documents can just have W3C and that will be pronounced as "World Wide Web Consortium".. so answer is B, because the question asks for "future" documents.
👍 38VB2021/09/24- 👍 18cybe0012021/09/21
- 正解だと思う選択肢: B
SSML is specific to that particular doument, like W3C an be pronounced as "World Wide Web Consortium" using <sub alias="World Wide Web Consortium">W3C</sub> in that specific document and when you create a new document, you need to format again. But with LEXICONS, you can upload a lexicon file once and ALL the FUTURE documents can just have W3C and that will be pronounced as "World Wide Web Consortium".. so answer is B, because the question asks for "future" documents.
👍 3bnagaraja90992022/01/22
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