End2EndAutomaticSpeechRecognition

End2EndAutomaticSpeechRecognition

victor369basu

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.

34 Stars
12 Forks
34 Watchers
Python Language
Cost to Build
$205.1K
Market Value
$410.3K

Growth over time

7 data points  ·  2021-08-01 → 2025-08-01
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What is the victor369basu/End2EndAutomaticSpeechRecognition GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/victor369basu/End2EndAutomaticSpeechRecognition.git

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[email protected]:victor369basu/End2EndAutomaticSpeechRecognition.git

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Download master.zip

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