ON THE USE OF TIME ALIGNMENTS FOR NOISY SPEECH RECOGNITION

Y. Hauptman, Y. Bistritz

Research output: Contribution to conferencePaperpeer-review

Abstract

One of the basic aspects of modern pattern matching algorithms used in speech recognition is time-alignment. The use of time-alignment is essential for offsetting speaking rate variations, which is an inherent property of the speech signal. It is known that time-alignment contributes to increased accuracy in speech recognition. However, a key question is whether time-alignment information still contributes to recognition accuracy in highly degraded speech. In this paper we examine the robustness of time-alignment information by introducing a robustness indicator. Isolated words recognition experiments with and without time alignment (using DTW and VQ respectively) are used and to illustrate the issue.

Original languageEnglish
Pages2829-2832
Number of pages4
StatePublished - 1999
Event6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 - Budapest, Hungary
Duration: 5 Sep 19999 Sep 1999

Conference

Conference6th European Conference on Speech Communication and Technology, EUROSPEECH 1999
Country/TerritoryHungary
CityBudapest
Period5/09/999/09/99

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