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README-Copy1.md ADDED
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+ ---
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+ title: UbranSounds8K
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+ emoji: 🏃
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+ colorFrom: gray
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 3.0.3
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+ app_file: app.py
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+ pinned: false
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+ license: gpl
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
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article.md ADDED
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+
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+ Dataset for this - https://urbansounddataset.weebly.com/urbansound8k.html
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+ Classical approaches on this dataset as of 2019 - https://www.researchgate.net/publication/335862311_Evaluation_of_Classical_Machine_Learning_Techniques_towards_Urban_Sound_Recognition_on_Embedded_Systems
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+ #Fast.ai was used to train this classifier with a Resnet34 vision learner with 3 epochs. Audio files converted to Mel Spectrograms that perform better in general for visual transformations of such audio files.
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+
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+ epoch train_loss valid_loss accuracy time
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+ 0 1.462791 0.710250 0.775487 01:12
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+ epoch train_loss valid_loss accuracy time
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+ 0 0.600056 0.309964 0.892325 00:40
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+ 1 0.260431 0.200901 0.945017 00:39
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+ 2 0.090158 0.164748 0.950745 00:40
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:973aa561e19c98eea4faf8ddf1a0a1622c4e70b9a0879f266fb5d92e3747a4e4
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+ size 87601195
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requirements.txt ADDED
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+ fastai==2.6.0
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+ gradio==2.9.4
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+ librosa==0.9.1
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+ matplotlib==3.5.0
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+ huggingface_hub
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