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  • NVIDIA
    NVIDIA
    SLU Conformer-Transformer-Large SLURP
    Model
    NVIDIA
    NVIDIA
    SLU Conformer-Transformer-Large SLURP

    This model performs joint intent classification and slot filling, directly from audio input. The model treats the problem as an audio-to-text problem, where the output text is the flattened string representation of the semantics annotation.

  • 1 Version
    1.13.0Selected
    10/06/2022 10:56 PM UTC489.12 MB
  • Accuracy
    KeyValue
    SLURP-Metrics Precsion (Test)84.31
    Entity F-1 (Test)76.89
    SLURP-Metrics Recall (Test)80.33
    Entity Precsion (Test)78.95
    Entity Recall (Test)74.93
    SLURP-Metrics F-1 (Test)82.27
    Intent Accuracy (Test)90.14
    Model
    KeyValue
    Encoder Dimension512
    Number of Layers20
    ArchitectureConformer-Transformer-Large
    DatasetSLURP
    OutputsSemantics in English text
    InputsSpeech in English
    Number of Weights127M

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