Speech recognition using combined forward and backward Viterbi search

Wafi Abo-Gannemhy, Itshak Lapidot, Hugo Guterman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper we employ backward Viterbi search for speech recognition. Contrary to forward Viterbi search that is performed from the beginning to the end, and where a word depends on the preceding words, backward Viterbi search is performed from the end to the beginning and the current word depends from the following words. As the errors of the forward and the backward searches are not the same, improvement can be achieved by combining the forward and the backward Viterbi search. The fusion is attained by an expert system based on rover algorithm, and using confidence measure for the words and optimal confidence value for null arcs depending on its place in word transition network (WTN). The experimental result of the combined system showed significant improvement over both forward and backward Viterbi decoding system on the Number95 database.

Original languageEnglish
Title of host publication2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Pages642-645
Number of pages4
DOIs
StatePublished - 1 Dec 2010
Event2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010 - Eilat, Israel
Duration: 17 Nov 201020 Nov 2010

Publication series

Name2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010

Conference

Conference2010 IEEE 26th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2010
Country/TerritoryIsrael
CityEilat
Period17/11/1020/11/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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