Distributed speech recognition using traditional and hybrid modeling techniques

J. Stadermann, R. Meermeier, G. Rigoll

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

2 Scopus citations

Abstract

We compare the performance of different acoustic modeling techniques on the task of distributed speech recognition (DSR). The DSR technology is interesting for speech recognition tasks in mobile environments, where features are sent from a thin client to a server where the actual recognition is performed. The evaluation is done on the TI digits database which consists of single digits and digit-chains spoken by American-English talkers. We investigate clean speech and speech added with white noise. Our results show that new hybrid or discrete modeling techniques can outperform standard continuous systems on this task.

Original languageEnglish
Title of host publicationEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
EditorsBorge Lindberg, Henrik Benner, Paul Dalsgaard, Zheng-Hua Tan
PublisherInternational Speech Communication Association
Pages2711-2714
Number of pages4
ISBN (Electronic)8790834100, 9788790834104
StatePublished - 2001
Externally publishedYes
Event7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 - Aalborg, Denmark
Duration: 3 Sep 20017 Sep 2001

Publication series

NameEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Conference

Conference7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001
Country/TerritoryDenmark
CityAalborg
Period3/09/017/09/01

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