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

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.1.2

Nov 28, 2020

0.1.1

Nov 28, 2020

0.1.0

Nov 28, 2020

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)

Uploaded Nov 28, 2020 Source

Built Distribution

dualstudent_asr-0.1.2-py3-none-any.whl (31.9 kB view hashes)

Uploaded Nov 28, 2020 Python 3

Hashes for dualstudent-asr-0.1.2.tar.gz

Hashes for dualstudent-asr-0.1.2.tar.gz
Algorithm	Hash digest
SHA256	`de55b4d177d27f780636b24adffa82d04975ce03e5459c04915fc4cb35b5798e`
MD5	`ec09139168b81c3195a5e06f60315d4e`
BLAKE2b-256	`59957fea01993e4c5f8fedc680b7123453467f0e5247b54c5855169ffbdefce2`

Hashes for dualstudent_asr-0.1.2-py3-none-any.whl

Hashes for dualstudent_asr-0.1.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`88ed371678486ea533a2aec7fc4e488a3fe6d28d72599100f659730508e9779a`
MD5	`065c900118049dd7756a416210f35aaa`
BLAKE2b-256	`0e5447af5c27f82343b765370abd16d0c5380cc50b6a654890cc57acfb8df34f`