Konuşma Tanıma Sınavı için SpecAugment

Testi çözdüğünüzde cevaplar ve açıklamalar görünür.

1. SpecAugment ne üzerinde çalışır?
   • Log-mel spektrogramı
   • Ham ses dalga biçimi
   • Metin transkripti
   • Modelin ağırlıkları
2. Bunlardan hangisi SpecAugment'in üç operasyonundan biridir?
   • Perdenin tersine çevrilmesi
   • Frekans maskeleme
   • Kelime ikamesi
   • Yankı enjeksiyonu
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. 'Zaman maskeleme' ne işe yarar?
   • Transkript zaman damgalarını siler
   • Ses oynatmayı hızlandırır
   • Başlangıçtaki sessizliği kaldırır
   • Ardışık zaman adımları aralığını boşaltır
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. SpecAugment hangi kıyaslamada en son teknoloji sonuçların elde edilmesine özellikle yardımcı oldu?
   • ImageNet
   • LibriKonuşma
   • TAKIM
   • TUTKAL
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)