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@@ -20,6 +20,8 @@ Wav2vec_Classroom_WSP_FT is an automatic speech recognition (ASR) model trained
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  This model is adapted from **[Wav2vec-Classroom](https://huggingface.co/aadel4/Wav2vec_Classroom)**, which was trained using continued pretraining (CPT) on large-scale unlabeled classroom speech data. The adaptation involves further fine-tuning to leverage weak transcriptions before final refinement on high-quality annotations.
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  **Use Case:**
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  - Speech-to-text transcription for classroom environments.
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  - Educational research and analysis of classroom discourse.
 
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  This model is adapted from **[Wav2vec-Classroom](https://huggingface.co/aadel4/Wav2vec_Classroom)**, which was trained using continued pretraining (CPT) on large-scale unlabeled classroom speech data. The adaptation involves further fine-tuning to leverage weak transcriptions before final refinement on high-quality annotations.
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+ This model was originally trained using the fairseq library then ported into Huggingface.
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  **Use Case:**
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  - Speech-to-text transcription for classroom environments.
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  - Educational research and analysis of classroom discourse.