Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Parallel acoustic composition, layer freezing configuration parameter #307

Merged
merged 3 commits into from
Feb 15, 2018

Conversation

m-toman
Copy link
Contributor

@m-toman m-toman commented Feb 14, 2018

This PR adds:

Parallel acoustic composition.
Test run with 100 sentences, 8 processes:

serial
2018-02-14 12:56:49,685 ^[[1;32mINFO    ^[[0m       main    : creating acoustic (output) features
2018-02-14 12:58:39,720 INFO           main    : normalising acoustic (output) features using method MVN

parallel
2018-02-14 12:45:05,138 ^[[1;32mINFO    ^[[0m       main    : creating acoustic (output) features
2018-02-14 12:45:32,097 INFO           main    : normalising acoustic (output) features using method MVN

Layer freezing configuration parameter

New parameter freeze_layers to specify the number of layers to freeze when doing transfer learning/speaker adaptation. This just adds the configuration parameter and uses the existing mechanism in deep_rnn.py.

@ronanki ronanki merged commit 8dd7359 into CSTR-Edinburgh:master Feb 15, 2018
@ronanki
Copy link
Member

ronanki commented Feb 15, 2018

Thank you for the pull request.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

2 participants