other,15-5-H90-1060,bq This <term> performance </term> is comparable to our best condition for this test suite , using 109 <term> training speakers </term> .
tech,8-6-H90-1060,bq Second , we show a significant improvement for <term> speaker adaptation ( SA ) </term> using the new <term> SI corpus </term> and a small amount of <term> speech </term> from the new ( target ) <term> speaker </term> .
lr,16-6-H90-1060,bq Second , we show a significant improvement for <term> speaker adaptation ( SA ) </term> using the new <term> SI corpus </term> and a small amount of <term> speech </term> from the new ( target ) <term> speaker </term> .
lr,23-6-H90-1060,bq Second , we show a significant improvement for <term> speaker adaptation ( SA ) </term> using the new <term> SI corpus </term> and a small amount of <term> speech </term> from the new ( target ) <term> speaker </term> .
other,30-6-H90-1060,bq Second , we show a significant improvement for <term> speaker adaptation ( SA ) </term> using the new <term> SI corpus </term> and a small amount of <term> speech </term> from the new ( target ) <term> speaker </term> .
tech,1-7-H90-1060,bq A <term> probabilistic spectral mapping </term> is estimated independently for each <term> training ( reference ) speaker </term> and the <term> target speaker </term> .
other,9-7-H90-1060,bq A <term> probabilistic spectral mapping </term> is estimated independently for each <term> training ( reference ) speaker </term> and the <term> target speaker </term> .
other,16-7-H90-1060,bq A <term> probabilistic spectral mapping </term> is estimated independently for each <term> training ( reference ) speaker </term> and the <term> target speaker </term> .
measure(ment),1-8-H90-1060,bq Each <term> reference model </term> is transformed to the <term> space </term> of the <term> target speaker </term> and combined by <term> averaging </term> .
other,7-8-H90-1060,bq Each <term> reference model </term> is transformed to the <term> space </term> of the <term> target speaker </term> and combined by <term> averaging </term> .
other,10-8-H90-1060,bq Each <term> reference model </term> is transformed to the <term> space </term> of the <term> target speaker </term> and combined by <term> averaging </term> .
tech,15-8-H90-1060,bq Each <term> reference model </term> is transformed to the <term> space </term> of the <term> target speaker </term> and combined by <term> averaging </term> .
other,3-9-H90-1060,bq Using only 40 <term> utterances </term> from the <term> target speaker </term> for <term> adaptation </term> , the <term> error rate </term> dropped to 4.1 % --- a 45 % reduction in <term> error </term> compared to the <term> SI </term> result .
other,6-9-H90-1060,bq Using only 40 <term> utterances </term> from the <term> target speaker </term> for <term> adaptation </term> , the <term> error rate </term> dropped to 4.1 % --- a 45 % reduction in <term> error </term> compared to the <term> SI </term> result .
tech,9-9-H90-1060,bq Using only 40 <term> utterances </term> from the <term> target speaker </term> for <term> adaptation </term> , the <term> error rate </term> dropped to 4.1 % --- a 45 % reduction in <term> error </term> compared to the <term> SI </term> result .
measure(ment),12-9-H90-1060,bq Using only 40 <term> utterances </term> from the <term> target speaker </term> for <term> adaptation </term> , the <term> error rate </term> dropped to 4.1 % --- a 45 % reduction in <term> error </term> compared to the <term> SI </term> result .
other,24-9-H90-1060,bq Using only 40 <term> utterances </term> from the <term> target speaker </term> for <term> adaptation </term> , the <term> error rate </term> dropped to 4.1 % --- a 45 % reduction in <term> error </term> compared to the <term> SI </term> result .
tech,28-9-H90-1060,bq Using only 40 <term> utterances </term> from the <term> target speaker </term> for <term> adaptation </term> , the <term> error rate </term> dropped to 4.1 % --- a 45 % reduction in <term> error </term> compared to the <term> SI </term> result .
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