Skip to content

sqrk/NLP703_Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

27 Commits
 
 
 
 
 
 
 
 

Repository files navigation

NLP 703 Project - Dysarthric Speech Recognition: From Impaired to Understandable

To train the Conformer CTC and Quartznet, you need nemo. It's recommended to use a fresh Conda env.

conda create --name nemo python==3.8
conda activate nemo

conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch

apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython
pip install nemo_toolkit['all']

You first need to build the manifests of each toolkit by running the python files in the corresponding directories (see the Manifests folder).

The report can be found here.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages