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Exam AWS Certified Machine Learning - Specialty All Questions

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Exam AWS Certified Machine Learning - Specialty topic 1 question 215 discussion

A sports broadcasting company is planning to introduce subtitles in multiple languages for a live broadcast. The commentary is in English. The company needs the transcriptions to appear on screen in French or Spanish, depending on the broadcasting country. The transcriptions must be able to capture domain-specific terminology, names, and locations based on the commentary context. The company needs a solution that can support options to provide tuning data.

Which combination of AWS services and features will meet these requirements with the LEAST operational overhead? (Choose two.)

  • A. Amazon Transcribe with custom vocabularies
  • B. Amazon Transcribe with custom language models
  • C. Amazon SageMaker Seq2Seq
  • D. Amazon SageMaker with Hugging Face Speech2Text
  • E. Amazon Translate
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Suggested Answer: BE 🗳️

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Chosen Answer:
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ef12052
1 day, 7 hours ago
Selected Answer: BE
https://docs.aws.amazon.com/transcribe/latest/dg/improving-accuracy.html
upvoted 1 times
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Carpediem78
1 month ago
Selected Answer: BE
A: Only specific words can be corrected
upvoted 1 times
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MerryLew
4 months ago
Selected Answer: AE
AE is most straight forward.
upvoted 1 times
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MultiCloudIronMan
4 months, 3 weeks ago
Selected Answer: AE
In contrast, Amazon Transcribe with custom vocabularies (option A) and Amazon Translate (option E) provide a simpler, more efficient solution with lower operational overhead, making them better suited for the company’s needs.
upvoted 1 times
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MJSY
5 months, 1 week ago
Selected Answer: AE
from AWS docs. No doubt. B is a solution that can fix more problem than this requirement but no need.
upvoted 2 times
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72cc81d
7 months, 2 weeks ago
Selected Answer: AE
It is clear from AWS docs. No doubt.
upvoted 2 times
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rookiee1111
10 months, 2 weeks ago
Selected Answer: BE
custom language model will be needed as custom vocab will just help with pronunciation, and requirement clearly states handling domain specific terminologies, which cannot be handled by custom vocab.
upvoted 1 times
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Denise123
11 months, 1 week ago
Selected Answer: AE
Option A - Amazon Transcribe with custom vocabularies, allows you to enhance the transcription accuracy by providing domain-specific terminology, names, and locations. Custom vocabularies enable you to train the transcription model to recognize specific words or phrases commonly used in the context of sports commentary. This would help ensure that the transcriptions accurately capture the specialized terminology and context of the commentary, meeting the requirements of the sports broadcasting company. Additionally, the option mentions supporting options to provide tuning data, which further enhances the flexibility and customization of the solution.
upvoted 3 times
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vkbajoria
11 months, 2 weeks ago
Selected Answer: AE
Could someone explain why A is not correct? As par AWS documentation: Use custom vocabularies to improve transcription accuracy for one or more specific words. These are generally domain-specific terms, such as brand names and acronyms, proper nouns, and words that Amazon Transcribe isn't rendering correctly. Custom vocabularies can be used with all supported languages.
upvoted 1 times
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AIWave
1 year ago
Selected Answer: AE
A - Yes - Transcribe custom vocabs allow domain specific transforms B - No - Custom language models are typically used for fine-tuning for specific accents, dialects, or unique speech patterns. This question is about domain specific terminology C - No - building and tarining requires more overhead D - No - building and tarining requires more overhead E - Once transcribed in english, translate can perform laguage transformation
upvoted 3 times
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loict
1 year, 6 months ago
Selected Answer: BE
A. NO - Amazon Transcribe with custom vocabularies does not allow to take into account the broader context (https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary-create-list.html) B. YES - Custom language models are designed to improve transcription accuracy for domain-specific speech (https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html) C. NO - better to use built-in Translate service than base Seq2Seq D. NO - Hugging Face Speech2Text is custom model, use standard Transcribe E. YES - we need to translate English
upvoted 4 times
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Mickey321
1 year, 6 months ago
Selected Answer: BE
custom language + Translate
upvoted 2 times
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Mickey321
1 year, 7 months ago
Selected Answer: BE
Answer BE
upvoted 2 times
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vbal
1 year, 7 months ago
BE : For Specific Language: Custom Language Model
upvoted 1 times
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Mllb
1 year, 11 months ago
Selected Answer: BE
Comentary context is custom language
upvoted 3 times
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Valcilio
2 years ago
Selected Answer: BE
It's BE, custom languages is for domain-specific speech like terminologies, custom vocabulary is for words liken nouns.
upvoted 3 times
angus
2 years ago
https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html
upvoted 1 times
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GiyeonShin
2 years ago
Selected Answer: AE
Two sub-processes are needed: Speech to Text and Text to Text. We can consider Amazon Transcribe for Speech2Text. If we use custom language models or SageMaker, we would need to gather our own data to train or retrain models. for less effort, (a) option is better than (b) option. Then, Amazon Translate can be used to translate transcription to other language: (e) option
upvoted 1 times
drcok87
2 years ago
option A cannot capture "commentary context". B and E should be correct.
upvoted 2 times
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