Akash Manohar commited on
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update readme frontmatter

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  ---
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  license: apache-2.0
 
 
 
 
 
 
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  datasets:
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  - HashNuke/tincan-wakewords-data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # TinCan Speech Commands Model
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  - This is a closed-vocabulary command recognizer, not a general speech-to-text model.
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  - The model is intended for English short-command recognition.
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- - Validation metrics may not fully predict performance with every microphone, speaker, accent, room, or noise condition.
 
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  ---
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  license: apache-2.0
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+ library_name: nemo
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+ tags:
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+ - onnx
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+ - nemo
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+ - speech-commands
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+ - wake-word-spotting
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  datasets:
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  - HashNuke/tincan-wakewords-data
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: TinCan Speech Commands Model
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+ results:
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+ - task:
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+ type: audio-classification
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+ name: Speech command recognition
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+ dataset:
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+ name: TinCan Speech Commands validation set
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+ type: tincan-speech-commands-validation
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+ metrics:
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+ - type: loss
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+ name: Validation loss
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+ value: 0.1493
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+ - type: accuracy
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+ name: Validation micro top-1 accuracy
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+ value: 95.28
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+ - type: accuracy
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+ name: Validation macro accuracy
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+ value: 94.61
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  ---
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  # TinCan Speech Commands Model
 
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  - This is a closed-vocabulary command recognizer, not a general speech-to-text model.
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  - The model is intended for English short-command recognition.
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+ - Validation metrics may not fully predict performance with every microphone, speaker, accent, room, or noise condition.