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
Explanations:
SSML with pronunciation tags can adjust some aspects of pronunciation, but it’s typically used to fine-tune how speech sounds, not to address mispronunciations of acronyms. It requires manual input for every instance.
Creating an appropriate pronunciation lexicon is the best solution. It allows Amazon Polly to handle acronyms and other special terms consistently across documents, ensuring proper pronunciation.
Outputting speech marks helps to understand speech flow but does not directly resolve pronunciation issues, especially for acronyms. It’s more for controlling speech timing and pauses.
Amazon Lex is a conversational AI service, and while it handles text-to-speech, it is not the appropriate tool to preprocess documents for pronunciation issues related to acronyms.
I believe the answer is:
Create an appropriate pronunciation lexicon.
I organize that the answer is:
Create an appropriate pronunciation lexicon.