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Questionário ASR convolucional Wav2Letter

Avalie o design acústico da wav2letter e o objetivo ASG, com as diferenças entre experimentos originais, ferramentas C++ posteriores e campos receptivos.

Caminhos de guia relacionadosWav2letter Asr Convolucional
Pergunta 1 de 8

Which architecture defines the original wav2letter acoustic network?

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  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 Cérebro
    • Microsoft Pesquisa
    • 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. Como a perda AutoSegCriterion (ASG) original difere da perda CTC mais comum?
    • Ele remove o símbolo em branco e modela transições de letras diretamente
    • Requer alinhamento manual por quadro
    • Só funciona com RNNs
    • Ele não pode lidar com sequências de comprimento variável
  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
    • Lanterna
  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?
    • Três
    • Cinco
    • Seis
    • Nove