tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Recognize spoken words and phrases using a complete speech recognition system built with TensorFlow.
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Free · no card · unsubscribe anytimeEnd-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
tensorflow_end2end_speech_recognition has 314 stars on GitHub. It has been forked 119 times. tensorflow_end2end_speech_recognition is written mainly in Python. It has been in active development since 2017. tensorflow_end2end_speech_recognition is available under the MIT license. Its main topics are asr, attention-mechanism, automatic-speech-recognition, beam-search.
What is tensorflow_end2end_speech_recognition?
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Is tensorflow_end2end_speech_recognition open source?
tensorflow_end2end_speech_recognition is an open-source project. It is released under the MIT license.
Is tensorflow_end2end_speech_recognition free?
Yes. tensorflow_end2end_speech_recognition is free and open source — you can use, modify and self-host it.
What license does tensorflow_end2end_speech_recognition use?
tensorflow_end2end_speech_recognition is available under the MIT license.
What language is tensorflow_end2end_speech_recognition written in?
tensorflow_end2end_speech_recognition is written mainly in Python.
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