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All Projects → sarthak268 → Audio_Classification_using_LSTM

sarthak268 / Audio_Classification_using_LSTM

Licence: MIT license
Classification of Urban Sound Audio Dataset using LSTM-based model.

Programming Languages

python
139335 projects - #7 most used programming language

Labels

audiopytorchlstmurban-sound-classificationaudio-classificationaudio-processinglstm-neural-networksrnn-pytorchurban-soundurban-sound-8k

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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.

Citation

In case you find any of this useful, consider citing:

@misc{audio-classification-using-LSTM,
  author = {Shagun Uppal, Anish Madan, Sarthak Bhagat},
  title = {sarthak268/Audio_Classification_using_LSTM},
  url = {https://github.com/sarthak268/Audio_Classification_using_LSTM},
  year = {2019}
}

Team

  • Anish Madan
  • Sarthak Bhagat
  • Shagun Uppal
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