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Classification of Urban Sound Audio Dataset using LSTM-based model.

License: MIT License

Python 100.00%

audio_classification_using_lstm's Introduction

Audio Classification using LSTM

Classification of Urban Sound Audio Dataset using LSTM-based model.

Requirements

  • pytorch==1.0.1
  • scipy==1.2.0
  • torchvision==0.2.1
  • pandas==0.24.1
  • numpy==1.14.3
  • torchaudio==0.2
  • librosa==0.6.3
  • pydub==0.23.1

Steps to follow for testing on your Test Data

  • Create a folder named data/test in the current directory which will contain all the '.wav' files that are to be tested.

  • Download 'bestModel.pt' from this Link and place in the current directory.

  • Run the following commands:

python preprocess.py
python eval.py
  • A csv file named 'test_predictions.csv' will be generated in the current directory containing all the test files along with their corresponding predicted labels.

Team

  • Anish Madan
  • Sarthak Bhagat
  • Shagun Uppal

audio_classification_using_lstm's People

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