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Extracting pre-trained self-supervised embeddings for ICML ExVO 2022 challenge

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Extracting pre-trained self-supervised embeddings for ICML ExVO 2022 challenge

This python code generates Generation SSL (WavLM) feature representation:

  • Estimate frame-level SSL embeddings from pre-trained models
  • Generates fixed-length feature representation by using mean and standard deviation functionals

The extracted feature representations were used during ICML ExVo 2022 challenge, for more details see:

T. Purohit, I. B. Mahmoud, B. Vlasenko, M. Magimai.-Doss. Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track, workshop ICML ExVo 2022

Install

Create a Conda environment with python 3.10 and activate it:

conda create -n env python=3.10
conda activate env

Install all required python packages

pip install -r requirements.txt

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Extracting pre-trained self-supervised embeddings for ICML ExVO 2022 challenge

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