JONAHKYAGABA/-Bemba-ASR-Model-Evaluation-with-Wav2Vec2-BERT

Bemba ASR Model Evaluation with Wav2Vec2-BERT # 🗣️ Bemba ASR Model Evaluation with Wav2Vec2-BERT This project evaluates multiple **Wav2Vec2-BERT** models on a **5-hour Bemba language speech dataset**. It uses Hugging Face pipelines to transcribe speech, computes **Word Error Rate (WER)** and **Character Error Rate (CER)**, and exports detailed CSV reports per model. --- ## 🎯 Objectives - Load pre-trained Wav2Vec2-BERT ASR models from Hugging Face Hub - Perform inference on Bemba audio using the `Beijuka/Bemba_test_5hr` dataset - Compute WER and CER for each utterance and model - Save detailed predictions and error scores to CSV --- ## 🧰 Dependencies Install all required packages: ```bash pip install transformers datasets torchaudio librosa jiwer evaluate pandas tqdm