Topic: "submission-pipeline"
Avinraj01/SHL-Grammar-Scoring-Engine-for-Voice-Samples
This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.
Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0
Ibraddah/SHL-Grammar-Scoring-Engine-for-Voice-Samples
This model predicts grammar scores (1–5) from audio files. It uses Whisper to transcribe speech to text, cleans the text, and extracts features with TF-IDF. A Random Forest Regressor is trained to learn grammar score patterns. Evaluation via Pearson Correlation showed good results.
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
