SpecAugment untuk Kuis Pengenalan Ucapan

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. Apa yang dilakukan SpecAugment?
   • Spektogram log-mel
   • Bentuk gelombang audio mentah
   • Transkrip teks
   • Bobot model
2. Manakah dari berikut ini yang merupakan salah satu dari tiga operasi SpecAugment?
   • Pembalikan nada
   • Penyembunyian frekuensi
   • Substitusi kata
   • Injeksi gema
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. Apa gunanya 'penutupan waktu'?
   • Menghapus stempel waktu transkrip
   • Mempercepat pemutaran audio
   • Menghilangkan keheningan di awal
   • Mengosongkan rentang langkah waktu berturut-turut
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. Pada tolok ukur manakah SpecAugment membantu mencapai hasil yang canggih?
   • GambarNet
   • PerpustakaanPidato
   • Pasukan
   • LEM
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)