ai-adv-lab/deepspeech.mxnet
A MXNet implementation of Baidu's DeepSpeech architecture
This project helps machine learning engineers build powerful Speech-to-Text (STT) models using the MXNet framework. You provide audio files paired with their corresponding text transcripts, along with a configuration file, and it outputs a trained STT model that can convert spoken language into written text. This is designed for practitioners who need to create custom speech recognition systems for various applications.
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Use this if you are a machine learning engineer or data scientist looking to train a custom speech-to-text model using MXNet with advanced neural network architectures.
Not ideal if you need a ready-to-use speech-to-text solution without custom model training, or if you prefer a different deep learning framework.
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Language
Python
License
Apache-2.0
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Last pushed
May 20, 2018
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