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Soru 1 arasında 8
A transcript has four substitutions, three deletions, and two insertions against a 100-word reference. What is its word error rate?
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Testi çözdüğünüzde cevaplar ve açıklamalar görünür.
- A transcript has four substitutions, three deletions, and two insertions against a 100-word reference. What is its word error rate?
- 9%
- 4%
- 7%
- %100
- Why inspect individual transcript errors after calculating word error rate?
- The score identifies speaker identity
- The aggregate does not show whether an error changed a key instruction
- The percentage verifies punctuation
- The number proves accent fairness
- A recording contains overlapping speakers and unusual names. What does the guide recommend?
- Treat speaker labels as verified identity
- Assume one dataset score applies to the recording
- Expect recognition challenges and review names and uncertain passages
- Remove the original audio
- A transcript labels two speakers. What does a speaker label establish?
- It shows that translation is correct
- It proves who spoke
- It guarantees transcription accuracy
- It is a model output, not necessarily a verified identity
- Why preserve the original recording and timestamps where permitted?
- They automatically correct word error rate
- They let reviewers check uncertain transcript passages against the source
- They replace the transcript reference
- They guarantee that no words were omitted
- Which error types does word error rate count?
- Speaker changes and audio duration
- Only punctuation and capitalization
- Substitutions, deletions, and insertions
- Translation and summarization errors
- Why report normalization rules with a WER score?
- Punctuation, casing, and tokenization choices affect the result
- Normalization verifies who spoke
- Rules remove all semantic errors
- It makes all datasets comparable automatically
- A system transcribes silence as confident words. What does the guide suggest testing?
- Speaker identity accuracy
- Only clean speech from one speaker
- Translation quality
- Silence and non-speech audio