Update README.md

README.md

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 **Date:** 2025  
 
 **Description:**  
-NCTE-WSP-ASR is an automatic speech recognition (ASR) model trained specifically for classroom speech transcription using a weakly supervised pretraining (WSP) approach. The model first undergoes supervised pretraining on weakly transcribed classroom data (NCTE-Weak) and is then fine-tuned using a small amount of human-verified gold-standard data (NCTE-Gold). This methodology allows the model to generalize well despite the scarcity of precisely transcribed classroom speech.  
+Wav2vec_Classroom_WSP_FT is an automatic speech recognition (ASR) model trained specifically for classroom speech transcription using a weakly supervised pretraining (WSP) approach. The model first undergoes supervised pretraining on weakly transcribed classroom data (NCTE-Weak) and is then fine-tuned using a small amount of human-verified gold-standard data (NCTE-Gold). This methodology allows the model to generalize well despite the scarcity of precisely transcribed classroom speech.  
 
 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.