Longitudinal study of ASR performance on ageing voices
dc.contributor.author
Vipperla, Ravichander
en
dc.contributor.author
Renals, Steve
en
dc.contributor.author
Frankel, Joe
en
dc.date.accessioned
2010-10-11T10:20:33Z
dc.date.available
2010-10-11T10:20:33Z
dc.date.issued
2008
dc.date.openingDate
2008
dc.date.updated
2010-10-11T10:20:33Z
dc.description.abstract
This paper presents the results of a longitudinal study of ASR performance on ageing voices. Experiments were conducted on the audio recordings of the proceedings of the Supreme Court Of The United States (SCOTUS). Results show that the Automatic Speech Recognition (ASR) Word Error Rates (WERs) for elderly voices are significantly higher than those of adult voices. The word error rate increases gradually as the age of the elderly speakers increase. Use of maximum likelihood linear regression (MLLR) based speaker adaptation on ageing voices improves the WER though the performance is still considerably lower compared to adult voices. Speaker adaptation however reduces the increase in WER with age during old age.
en
dc.identifier.uri
http://hdl.handle.net/1842/3900
dc.title
Longitudinal study of ASR performance on ageing voices
en
dc.type
Conference Paper
en
rps.title
Proc.Interspeech
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