Virtual machines and containers as a platform for experimentation

Metze, F

Riebling, E

Warlaumont, AS

Bergelson, E

2017-12-01T14:26:59Z

2017-12-01T14:26:59Z

2016-01-01

Copyright © 2016 ISCA. Research on computational speech processing has traditionally relied on the availability of a relatively large and complex infrastructure, which encompasses data (text and audio), tools (feature extraction, model training, scoring, possibly on-line and off-line, etc.), glue code, and computing. Traditionally, it has been very hard to move experiments from one site to another, and to replicate experiments. With the increasing availability of shared platforms such as commercial cloud computing platforms or publicly funded super-computing centers, there is a need and an opportunity to abstract the experimental environment from the hardware, and distribute complete setups as a virtual machine, a container, or some other shareable resource, that can be deployed and worked with anywhere. In this paper, we discuss our experience with this concept and present some tools that the community might find useful. We outline, as a case study, how such tools can be applied to a naturalistic language acquisition audio corpus.

1990-9772

2308-457X

https://hdl.handle.net/10161/15806

ISCA

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

10.21437/Interspeech.2016-997

Virtual machines and containers as a platform for experimentation

Conference

Bergelson, E|0000-0003-2742-4797

1603

1607

Duke

Psychology and Neuroscience

Temp group - logins allowed

Trinity College of Arts & Sciences

Published

08-12-September-2016