December 10, 2020
Urban soundscapes are hectic places where the sounds of people and machinery are always a commotion. In order to make sense of the busy noises of a city, we developed a data science algorithm to classify these sounds. The classifier is able to distinguish between 10 different urban sounds. I did this project as part of a collaborative masters project at Virginia Tech with Brannon King.
We digested the 10,000+ sound files with the librosa python package and extracted features such as RMS Frequency, Amplitude, and Length.
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