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GitHub topics: 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: 80.1 KB - Last synced at: about 7 hours ago - Pushed at: about 8 hours 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Related Keywords
audio-to-text 2 grammar-scoring 2 machine-learning 2 model-evaluation 2 pearson-correlation 2 random-forest 2 regression-model 2 speech-recognition 2 submission-pipeline 2 text-preprocessing 2 tf-idf 2 whisper-model 2 nlp-machine-learning 1