Friedrich-M/Audio-signal-classification-and-identification
基于梅尔频谱的信号分类和识别
This project helps environmental researchers, urban planners, or sound engineers automatically categorize audio recordings from urban settings. You feed it raw audio files, and it tells you what specific sounds are present, like car horns, dog barks, or drilling. It's designed for anyone needing to identify and classify ambient sounds without manual listening.
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Use this if you need to automatically identify and classify common urban sounds from audio recordings.
Not ideal if you need to analyze complex musical compositions or human speech with high linguistic nuance.
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23
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Language
Python
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Last pushed
Mar 31, 2023
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