Dual Student for Automatic Speech Recognition
Project description
Dual Student for Automatic Speech Recognition
Dual Student is a semi-supervised learning algorithm originally introduced for image classification by Ke et al. In this work, we implement, validate and extend it for Automatic Speech Recognition (ASR). See the report for more details. This project is part of the course DT2119 Speech and Speaker Recognition at KTH.
How to install
pip install dualstudent-asr
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dualstudent-asr-0.1.2.tar.gz
(5.6 MB
view hashes)
Built Distribution
Close
Hashes for dualstudent_asr-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 88ed371678486ea533a2aec7fc4e488a3fe6d28d72599100f659730508e9779a |
|
MD5 | 065c900118049dd7756a416210f35aaa |
|
BLAKE2b-256 | 0e5447af5c27f82343b765370abd16d0c5380cc50b6a654890cc57acfb8df34f |