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 sim...Show MoreMetadata
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.
Published in: 2010 IEEE Spoken Language Technology Workshop
Date of Conference: 12-15 December 2010
Date Added to IEEE Xplore: 24 January 2011
ISBN Information: