A comparison of two LVR search optimization techniques

  title={A comparison of two LVR search optimization techniques},
  author={Stephan Kanthak and Hermann Ney and Michael Riley and Mehryar Mohri},
This paper presents a detailed comparison between two search optimization techniques for large vocabulary speech recognition – one based on word-conditioned tree search (WCTS) and one based on weighted finite-state transducers (WFSTs). Existing North American Business News systems from RWTH and AT&T representing each of the two approaches, were modified to remove variations in model data and acoustic likelihood computation. An experimental comparison showed that the WFST-based system explored… CONTINUE READING
Highly Cited
This paper has 51 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 36 extracted citations

An ultra low-power hardware accelerator for automatic speech recognition

2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) • 2016
View 2 Excerpts

Progress in dynamic network decoding

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2014
View 1 Excerpt

Lexical Prefix Tree and WFST: A Comparison of Two Dynamic Search Concepts for LVCSR

IEEE Transactions on Audio, Speech, and Language Processing • 2013
View 1 Excerpt

A comparison of dynamic WFST decoding approaches

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2012
View 1 Excerpt

Lattice generation with accurate word boundary in WFST framework

2012 5th International Congress on Image and Signal Processing • 2012
View 1 Excerpt

Optimized large vocabulary WFST speech recognition system

2012 9th International Conference on Fuzzy Systems and Knowledge Discovery • 2012
View 1 Excerpt

51 Citations

Citations per Year
Semantic Scholar estimates that this publication has 51 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 13 references

Non - terministic Stochastic Language Models for Speech cognition

E. Bocchieri Riccardi
European Conf . on Speech mmunication and Technology • 2001

Suchverfahren zur Erkennung kontinuierlich gesprochener Sprache

S. Ortmanns, Effiziente
Ph.D. thesis, RWTH Aachen, • 1998
View 1 Excerpt

Riley,Finite State Language Processing, chapter Speech Recognition by Composition of Weighted Finite Automata

M. F. Pereira
View 1 Excerpt

Similar Papers

Loading similar papers…