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The aim of this project is to implement and design a robust synthetic speech classifier for the IEEE Signal Processing Cup 2022 challenge.

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SPCUP2022

Paper Link: Synthetic Speech Classification: IEEE Signal Processing Cup 2022 challenge

Data Set

Download the zip file of the data set from here.

Development Environment

  1. It is recommended to use Anaconda to create a virtual environment before proceeding to run code.
  2. It is recommended to stick to Python 3.7.11
  3. The following are the main requirements:
torch
torchvision
torchaudio
pytorch-lightning
scikit-learn
numpy
pandas
scikitplot
matplotlib
librosa
soundfile
wandb (for logging)
  1. The deep learning parts of the codebase was tested on CUDA 10.1 and cuDNN 7.6.5.

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The aim of this project is to implement and design a robust synthetic speech classifier for the IEEE Signal Processing Cup 2022 challenge.

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