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TensorFlow, an open-source machine learning framework developed by Google, facilitates the creation of neural networks for tasks such as image and speech recognition.
To demonstrate how speech recognition application is created, let’s first try to use Pocketsphinx with Python. Python API is really simple, example is just six lines of code.
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Tech Xplore on MSNResearchers develop privacy-focused speech recognition for children
From the voice-to-text feature on your phone to the captions that make videos more accessible, speech transcription is ...
By buying speech recognition platform Wit.ai, Facebook hopes to usher in a world in which everything from smartphones to microwave ovens to apps can respond to what we tell them to do.
There are four well-known open speech recognition engines: CMU Sphinx, Julius, Kaldi, and the recent release of Mozilla’s DeepSpeech (part of their Common Voice initiative).
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