Voice Activity Detection based on Deep Learning & TensorFlow

GSoC'2021 | TensorFlow implementation of Wav2Vec2

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

Gender Classification with different Machine Learning models, using the LibriSpeech ASR dataset.

Project on Automatic Speech Recogition for course Deep Learning Speech Processing

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.

In this notebook, I will build a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline!

An implementation of a DNN speech recognizer as part of the Udacity NLP NanoDegree program