(Select all that apply) Under the CTC framework, which of the following would be possible transcripts of the utterance "deep learning" (assuming each alphabet, including the space character, corresponds to a phoneme label)?

Hint: Lec 16, Slide 95 to 100

Hint: Spaces count as characters

Question

(Select all that apply) Under the CTC framework, which of the following would be possible transcripts of the utterance "deep learning" (assuming each alphabet, including the space character, corresponds to a phoneme label)?

Hint: Lec 16, Slide 95 to 100

Hint: Spaces count as characters

BlackTom AI · Accepted Answer

Analyzing the provided question, we are told to consider the CTC (Connectionist Temporal Classification) framework and determine which transcripts could represent the utterance "deep learning" when each alphabet character, including the space, is treated as a phoneme label.

Option context: The problem states it is a (Select all that apply) item, but the answer list contains only one transcript: "d-e-e-p l-e-a-r-n-i-n-g". Additionally, there are no other answer choices to compare against, so we cannot evaluate alternative transcripts here. The key takeaway is that the single listed transcript is presented as a possible phoneme sequence under CTC, rather than as the final cleaned word sequence.

Why the transcript "d-e-e-p l-e-a-r-n-i-n-g" could be a valid CTC transcript:
- In CTC, the model outputs a sequence of labels over time, where labels come from an alphabet. If we include every letter of the words and also include the space character as a distinct phoneme, then a plausible per-time-step label sequence could be d, e, e, p, (space), l, e, a, r, n, i, n, g, corresponding to the spoken phrase "deep learning".
- The CTC decoding process collapses consecutive repeated labels and removes blanks to form the final transcription. The given sequence distributes each phoneme (letter) and the space as separate labels, which could collapse down to the canonical string "deep learning" if the repeats are handled appropriately and blanks are absent where not needed. In other words, the provided transcript could be a valid labelling before collapsing to the final transcript.
- The hint notes that spaces count as characters, reinforcing that including a space label is permissible and can appear in the phoneme sequence. This aligns with the given transcript, which explicitly includes a space between the blocks for deep and learning.

What we can say about missing additional options:
- Since the answer options list is empty, we cannot judge whether other transcripts would also be valid under the same assumption. In a typical MC-CTC item, several alternative phoneme sequences might be possible, such as using different letters or including or omitting the space, depending on the defined phoneme alphabet and the decoding rules. Without those alternatives presented, we cannot comment on their validity.

In summary, the provided transcript "d-e-e-p l-e-a-r-n-i-n-g" is a plausible phoneme-label sequence under CTC when treating each letter and the space as distinct phoneme labels, and it could yield the word-level transcription "deep learning" after CTC collapsing. The lack of additional options prevents a broader assessment of other potential transcripts for this item.

11785/11685/11485 Quiz-8

(Select all that apply) Under the CTC framework, which of the following would be possible transcripts of the utterance "deep learning" (assuming each alphabet, including the space character, corresponds to a phoneme label)? Hint: Lec 16, Slide 95 to 100 Hint: Spaces count as characters

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