Automatic Speech Recognition
Speech-to-text model trained on custom datasets.
PyTorchAudioMachine Learning
Problem Statement
Converting raw audio acoustic signals into precise text transcripts under variable audio conditions.
Role & Responsibilities
Role: Machine Learning Developer
Technical Solution
Trained and evaluated end-to-end acoustic speech-to-text models using custom dataset preprocessing and PyTorch pipeline.
Technologies & Tools:
- PyTorch
- Audio
- Machine Learning
- Python
Results & Impact
Demonstrated low word error rate (WER) performance on evaluation datasets.