readme: ---
  library_name: speechbrain
  tags:
  - audio
  - intent classification 
  datasets:
  - fluent_speech_commands_dataset
  metrics:
  - wer 
  
  model-index:
  - name: Direct SLU
    results:
    - task: 
        type: automatic-speech-recognition
        name: Intent Classification
      metrics:
        - type: wer    # Required. Example: wer
          value: 7.0  # Required. Example: 20.90
          name: Test Wer
  ---
  
  Speechbrain SLU fine-tuned for Intent Classification
  ---
  Model: Direct SLU  
  Encoder: Pre-trained ASR encoder -> LSTM  
  Decoder: GRU + beamsearch  
  Tokens: BPE with unigram  
  Data: fluent_speech_commands_dataset (http://140.112.21.28:9000/fluent.tar.gz)  
  Test wer: 0.07