Publication
SLT 2010
Conference paper

The IBM Attila speech recognition toolkit

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Abstract

We describe the design of IBM's Attila speech recognition toolkit. We show how the combination of a highly modular and efficient library of low-level C++ classes with simple interfaces, an interconnection layer implemented in a modern scripting language (Python), and a standardized collection of scripts for system-building produce a flexible and scalable toolkit that is useful both for basic research and for construction of large transcription systems for competitive evaluations. ©2010 IEEE.

Date

01 Dec 2010

Publication

SLT 2010

Authors

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