victor369basu/End2EndAutomaticSpeechRecognition
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.
This project helps machine learning engineers and data scientists build and manage their own custom speech-to-text models. It takes audio files as input and outputs the predicted text, using a neural network similar to DeepSpeech2. This is useful for individuals who need to convert spoken language into written text for various applications.
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Use this if you are a machine learning engineer or data scientist looking to develop, train, and track the performance of your own automatic speech recognition models using your specific datasets.
Not ideal if you are looking for a ready-to-use, real-time speech-to-text service or a system that can be deployed instantly without further development.
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Python
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Last pushed
Jun 02, 2021
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