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@@ -3,10 +3,57 @@ license: mit
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  language:
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  - sr
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  metrics:
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- - name: wer
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- type: wer
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- value: 0.0
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  base_model:
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  - facebook/wav2vec2-large-xlsr-53
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  pipeline_tag: audio-classification
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  language:
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  - sr
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  metrics:
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+ - wer
 
 
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  base_model:
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  - facebook/wav2vec2-large-xlsr-53
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  pipeline_tag: audio-classification
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+ tags:
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+ - voice-command
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+ - smart-home
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+ - voice-controller
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+ - serbian-wav2vec
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+ - audio-classification
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+ ---
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ Smart home controller simulator, receiving voice commands from a microphone.
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+ Trained to detect the words: "vrata", "svetlo", "zvuk", "otvori", "zatvori", "uključi" and "isključi" to control the state of door, lights and audio in a smart home system.
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+ ## Model Details
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+
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+ ### Model Description
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+ - **Developed by:** [Mihailo Radović](https://www.linkedin.com/in/mihailo-radović-484070278/)
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+ - **Model type:** Audio Classification (Smart home controller)
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+ - **Language(s) (NLP):** Serbian
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+ - **License:** MIT
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+ - **Finetuned from model:** facebook/wav2vec2-large-xlsr-53
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+
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+ ### Model Sources
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [GitHub Repo](https://github.com/mradovic38/voice-command-recognition)
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+ - **Demo:** [Streamlit App](https://smart-home-serbian-voice-controller.streamlit.app)
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+ Detecting a word said in a short audio clip: "vrata", "svetlo", "zvuk", "otvori", "zatvori", "uključi" and "isključi" to control the state of door, lights and audio in a smart home system.
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+ ### Out-of-Scope Use
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+ Works the best for the words that are in the dataset. For the words that are out of the vocabulary, the DTW check is implemented (see code in [GitHub Repo](https://github.com/mradovic38/voice-command-recognition)).
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+ ## How to Get Started with the Model
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+ Check out the explaination in my [GitHub repository](https://github.com/mradovic38/voice-command-recognition) README file.