Description:
To help users understand different speech recognition methods, add a notebook that applies multiple models on the same dataset and compares results.
Tasks:
- Compare CMU Sphinx, DeepSpeech, Wav2Vec 2.0, OpenAI Whisper.
- Provide Word Error Rate (WER) and Sentence Error Rate (SER) comparisons.
- Summarize key use cases and limitations for each model.
- Name the notebook speech_to_text_comparison.ipynb.
- Update the README file with relevant references.
Description:
To help users understand different speech recognition methods, add a notebook that applies multiple models on the same dataset and compares results.
Tasks: