Voice Activity Detection based on Deep Learning & TensorFlow
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Updated
Mar 24, 2023 - Python
Voice Activity Detection based on Deep Learning & TensorFlow
In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
Pytorch implementation for DeepSpeech 2.0
Pytorch implementation of conformer with with training script for end-to-end speech recognition on the LibriSpeech dataset.
Gender Classification of the speaker from LibriSpeech Dataset
This project builds a system to split spoken sentences into words (speaker-independent) and calculates the speaker's average pitch, comparing different methods to identify word boundaries.
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