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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
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
An implementation of a DNN speech recognizer as part of the Udacity NLP NanoDegree program
In this notebook, I will build a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline!