quiz bu lëkkale ak tegtal · Diggante Niveau

Laajte ASR buy boole arafu Wav2

Dañu jàngat jëmmal akustik wav2letter ak mébetu ASG, ak wuute gi am ci diggante jàngat yu njëkk yi, jumtukaayi C ++ yu ci topp, ak barabi jot.

Yooni njiit yu jëm ciAsr
Laaj 1 de 8

Which architecture defines the original wav2letter acoustic network?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Which architecture defines the original wav2letter acoustic network?
    • A recurrent-only network
    • A decision-tree ensemble
    • A Gaussian-mixture-only acoustic network
    • A convolutional network without recurrent acoustic connections
  2. Which research organization is associated with the original 2016 wav2letter paper?
    • Google Brain
    • Gëstu
    • Facebook AI Research
    • NVIDIA
  3. Which output representation does the original wav2letter acoustic model predict from its studied speech inputs?
    • Only an intermediate human-labeled phoneme transcript
    • Letters or graphemes
    • Only a list of speaker names
    • Only a global tempo value
  4. Lan mooy wuutale ñàkka am AutoSegCriterion (ASG) ak ñàkka am CTC bi gëna bari?
    • Dafay dindi màndarga bu amul dara ba noppi modele jaar-jaaru araf yi ci saasi
    • Dafay laaj nga defar kadre bu nekk ci loxo
    • Du dox ludul ak RNNs
    • Mënul jëfandikoo ay toppalante yu am guddaay bu mën soppiku
  5. What computation difference does a convolutional acoustic stack offer compared with a conventional recurrent dependency across time?
    • Every complete speech decoder becomes fully parallel
    • No labeled transcription data is needed for its supervised objective
    • Convolution operations can be evaluated across positions without that recurrent chain
    • Every workload necessarily obtains zero transcription error
  6. Which C++ machine-learning library documents ASR applications formerly associated with the wav2letter project?
    • scikit-learn only
    • An audio-compression format
    • A required spelling dictionary standard
    • Lamp-tors
  7. Which tensor library does the later wav2letter++ paper identify for its C++ framework?
    • ArrayFire
    • A required Java virtual machine
    • Only the original Torch7 runtime
    • A fixed spreadsheet engine
  8. For two length-three temporal convolutions at stride one and dilation one with no padding or intervening operation, how many original positions can one second-layer output depend on?
    • Ñatt
    • Juroom
    • Jiroom benn
    • Jiroom ñeent