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FEATURE REQUESTED : Urban Sound Analysis - Sound Classification #963
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Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊 |
Hi @SimranShaikh20 what are the models you are planning to implement here? |
here is dataset link - https://drive.google.com/file/d/1EpRQYWDIiZgmgnQunOFCzGIrfissXOxX/view?usp=sharing but i will select more prefereable which is ann |
hey @abhisheks008 can you assign me this project as i ha shared all mandatory details ! |
@abhisheks008 let me know have you liked my idea ! |
Hi @SimranShaikh20 try to implement in all the three possible ways mentioned by you, then based on the accuracy scores you can figure out the best fitted approach. Assigned to you. |
Hello @SimranShaikh20! Your issue #963 has been closed. Thank you for your contribution! |
This project classifies audio samples from urban environments into one of 10 classes. The dataset, known as UrbanSound8K, contains 8732 sound excerpts, each 4 seconds or shorter, representing urban sounds like air conditioners, car horns, children playing, and more. Using a Neural Network model, the project aims to achieve high classification accuracy (reported at 93%).
Key Objectives : Classify Urban Sound Events , Feature Extraction from Audio Data , Use Deep Learning for Accuracy
Overall Goal:
To build a robust and accurate audio classification model that can recognize urban sound types, offering potential for real-world applications in smart cities and environmental monitoring systems.
@abhisheks008 liked my idea / new feature !
then assign me this issue to work on it .
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