Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Huawei Exam H13-321 Topic 1 Question 84 Discussion

Actual exam question for Huawei's H13-321 exam
Question #: 84
Topic #: 1
[All H13-321 Questions]

What are the main functions of GMM in traditional speech recognition tasks?

Show Suggested Answer Hide Answer
Suggested Answer: C

by Becky at Apr 10, 2024, 07:16 PM

Limited Time Offer

25%

Off

Get Premium H13-321 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Torie
10 months ago
Hmm, that makes sense. I can see how option A) makes more sense as not being part of the bag of words model.
upvoted 0 times
...
Naomi
10 months ago
I agree with user 3, option A) Based on the distribution assumption does not align with the bag of words model.
upvoted 0 times
...
Virgie
10 months ago
I believe option A) Based on the distribution assumption is not part of the bag of words model.
upvoted 0 times
...
Sharee
11 months ago
I disagree, option B) There is a semantic gap is actually a characteristic of the bag of words model.
upvoted 0 times
...
Torie
11 months ago
I think option B) There is a semantic gap is not the bag of words model.
upvoted 0 times
...
Franchesca
11 months ago
Yes, but it's actually option D) Order information cannot be retained that is not characteristic of the bag of words model.
upvoted 0 times
...
Nickole
11 months ago
But doesn't the bag of words model suffer from dimensional disaster?
upvoted 0 times
...
Kattie
11 months ago
I'm leaning towards option C) Dimensional disaster not being the bag of words model.
upvoted 0 times
...
Franchesca
11 months ago
I disagree, I believe option B) There is a semantic gap is not the bag of words model.
upvoted 0 times
...
Nickole
1 years ago
I think option A) Based on the distribution assumption is not the bag of words model.
upvoted 0 times
...
Ozell
1 years ago
You know, I'm starting to think option D, 'order information cannot be retained', might also be a valid answer. The bag-of-words model completely ignores the order of words, which can be important for understanding context and meaning. That seems like a pretty significant shortcoming to me.
upvoted 0 times
...
Temeka
1 years ago
Haha, 'dimensional disaster'? What a great term! I'm definitely going to remember that one. But yeah, I think I'm leaning towards option B as the answer. The bag-of-words model is all about surface-level word frequencies, so the semantic gap is a pretty fundamental limitation.
upvoted 0 times
...
Beatriz
1 years ago
Ooh, good point, Trina. The 'dimensional disaster' is a well-known issue with the bag-of-words model. Though I suppose you could argue that the lack of semantic awareness (option B) is also a pretty big limitation. Tough choice!
upvoted 0 times
...
Trina
1 years ago
Hmm, I'm not so sure. Option C, 'dimensional disaster', could also be a valid answer. The bag-of-words model can create really high-dimensional feature vectors, which can be computationally expensive and lead to overfitting. That seems like a more relevant drawback to me.
upvoted 0 times
...
Moira
1 years ago
Yeah, I agree with Leana. The bag-of-words model is all about counting word frequencies without any consideration for meaning or context. So option B definitely doesn't apply. I'm leaning towards that as the answer.
upvoted 0 times
Lorrie
12 months ago
Then option B, There is a semantic gap, is not the bag of words model.
upvoted 0 times
...
Louisa
12 months ago
I agree, the bag-of-words model doesn't consider semantics.
upvoted 0 times
...
Jordan
12 months ago
I think option B is correct.
upvoted 0 times
...
...
Leana
1 years ago
The bag-of-words model is a pretty basic text vectorization technique, so I'm not surprised it's on the exam. I think option B, 'there is a semantic gap', is not a characteristic of the bag-of-words model. The bag-of-words model doesn't really capture semantic relationships between words, so there's no semantic gap to worry about.
upvoted 0 times
...

Save Cancel