Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Wav2Letter Convolutional ASR Kediska

Qiimee nakhshad dhawaaqa wav2letter iyo ujeeddada ASG, oo leh faraqa u dhexeeya tijaabooyinkii asalka ahaa, qalabaynta C++ dambe, iyo goobaha soo dhawaynta.

Wadooyinka haga ee la xidhiidhaWav2letter Convolutional Asr
Su'aal 1 ee 8

Which architecture defines the original wav2letter acoustic network?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  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 Maskaxda
    • Microsoft Cilmi baaris
    • 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. Sidee buu khasaaraha asalka ah ee AutoSegCriterion (ASG) uga duwan yahay khasaaraha CTC ee caadiga ah?
    • Waxay meesha ka saartaa calaamadda bannaan waxayna qaabaysaa beddelka xarafka si toos ah
    • Waxay u baahan tahay qaab-dhismeedka gacanta
    • Waxa kaliya oo ay la shaqeysaa RNN-yada
    • Ma xamili karto taxanaha dhererka doorsooma
  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
    • Toosh
  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?
    • Saddex
    • Shan
    • Lix
    • Sagaal