SpeechCodebookAnalysis

Hello and welcome to our project! Here's a brief introduction about what you can expect:

This project contains the code related to the analytical section of our research paper, "What do self-supervised speech representations encode? An analysis of languages, varieties, speaking styles and speakers", which has been accepted for Interspeech 2023 in Dublin.

As of now, this project is a placeholder. We're still in the process of polishing the final details. However, we assure you that the complete project will be up and running before the conference commences.

Stay tuned for updates and we appreciate your interest in our work. Please continue exploring this README for more details on the project setup, codebase, and how to navigate through it.

Dependencies

• Python3.8
• fairseq
• matplotlib

Repository structure

Reproduction

Conda environment

You need to install the following packages:

conda create -n speechcodebookanalysis python=3.8
conda activate speechcodebookanalysis
pip install fairseq
pip install matplotlib

Fairseq Repository

You need to clone the fairseq repository in another directory (e.g., ../fairseq).

git clone https://github.com/facebookresearch/fairseq.git

Stages