hongfeixue/KWS_pytorch
Keyword spotting, Speech wake_up, by pytorch, DNN, CNN, TDNN, DFSMN, LSTM
This project helps you build and evaluate systems that listen for specific "wake-up words" or keywords in spoken audio. You provide audio files labeled with keywords (or wake-up phrases like "Hi xiaowen"), and it generates models that can identify these words in new audio. This is useful for product managers, voice UI designers, or hardware engineers developing smart devices, accessibility tools, or interactive voice response systems.
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Use this if you need to develop or experiment with models that can reliably detect predefined keywords or wake-up phrases from audio input, similar to how smart speakers activate.
Not ideal if you need a system for general speech-to-text transcription, speaker identification, or natural language understanding beyond simple keyword detection.
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53
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10
Language
Python
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Last pushed
Mar 15, 2022
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