음성 인식 퀴즈를 위한 SpecAugment

퀴즈를 풀면 정답과 설명이 나타납니다.

1. SpecAugment는 무엇을 위해 작동하나요?
   • 로그멜 스펙트로그램
   • 원시 오디오 파형
   • 텍스트 대본
   • 모델의 가중치
2. SpecAugment의 세 가지 작업 중 하나는 무엇입니까?
   • 피치 반전
   • 주파수 마스킹
   • 단어 대체
   • 에코 주입
3. What role did the SpecAugment paper assign to its feature transformations?
   • They guarantee that every recognizer avoids overfitting
   • They replace the need for transcribed training data
   • They augment ASR training inputs and were evaluated for recognition performance
   • They improve every speech model by the same amount
4. '타임 마스킹'은 무엇을 하나요?
   • 스크립트 타임스탬프를 삭제합니다.
   • 오디오 재생 속도를 높입니다.
   • 시작 시 무음을 제거합니다.
   • 연속된 시간 단계 범위를 비웁니다.
5. How are time- and frequency-mask locations chosen during SpecAugment training?
   • They are randomly sampled, so the same input may receive different masked regions on later passes
   • They are fixed permanently before the training set is collected
   • They are chosen by a language model after each recognition result
   • They are identical for every utterance and every training step
6. SpecAugment는 어떤 벤치마크에서 최첨단 결과를 달성하는 데 특히 도움이 되었습니까?
   • 이미지넷
   • LibriSpeech
   • 분대
   • 접착제
7. What does time warping do in the original SpecAugment policy?
   • It replaces speech frames with translated text
   • It masks every frequency channel permanently
   • It deforms feature positions along the time axis
   • It changes the speaker identity in the waveform
8. Which recognizer architecture did the original SpecAugment paper use in its experiments?
   • A region-based image detector
   • A music source-separation U-Net only
   • A text-only masked language model
   • Listen, Attend and Spell (LAS)