mostafaelaraby/Tensorflow-Keyword-Spotting
Keyword spotting using various architecture like convolutional vggnet , 1D convolutional network and CTC.
This tool helps train a machine learning model to recognize specific keywords from spoken audio. You provide folders of audio recordings, with each folder named after the keyword it contains, and the tool outputs a trained model that can identify those keywords in new audio. This is ideal for speech recognition engineers or developers working on voice-controlled applications.
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Use this if you need to build a custom keyword spotting system to detect a predefined set of spoken words from audio inputs.
Not ideal if you need a general-purpose speech-to-text transcription service for open-ended vocabulary.
Stars
29
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 12, 2018
Commits (30d)
0
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