| tech,8-6-H90-1060,ak | show a significant improvement for <term> | speaker adaptation ( SA ) | </term> using the new <term> SI corpus </term> | #21186 Second, we show a significant improvement forspeaker adaptation ( SA ) using the new SI corpus and a small amount of speech from the new (target) speaker. | |
| lr,16-6-H90-1060,ak | adaptation ( SA ) </term> using the new <term> | SI corpus | </term> and a small amount of <term> speech | #21194 Second, we show a significant improvement for speaker adaptation (SA) using the newSI corpus and a small amount of speech from the new (target) speaker. | |
| lr,23-6-H90-1060,ak | corpus </term> and a small amount of <term> | speech | </term> from the <term> new ( target ) speaker | #21201 Second, we show a significant improvement for speaker adaptation (SA) using the new SI corpus and a small amount ofspeech from the new (target) speaker. | |
| other,26-6-H90-1060,ak | amount of <term> speech </term> from the <term> | new ( target ) speaker | </term> . A <term> probabilistic spectral mapping | #21204 Second, we show a significant improvement for speaker adaptation (SA) using the new SI corpus and a small amount of speech from thenew ( target ) speaker. | |
| model,1-7-H90-1060,ak | <term> new ( target ) speaker </term> . A <term> | probabilistic spectral mapping | </term> is estimated independently for each | #21211 Aprobabilistic spectral mapping is estimated independently for each training (reference) speaker and the target speaker. | |
| other,9-7-H90-1060,ak | is estimated independently for each <term> | training ( reference ) speaker | </term> and the <term> target speaker </term> | #21219 A probabilistic spectral mapping is estimated independently for eachtraining ( reference ) speaker and the target speaker. | |
| other,16-7-H90-1060,ak | reference ) speaker </term> and the <term> | target speaker | </term> . Each <term> reference model </term> | #21226 A probabilistic spectral mapping is estimated independently for each training (reference) speaker and thetarget speaker. | |
| model,1-8-H90-1060,ak | the <term> target speaker </term> . Each <term> | reference model | </term> is transformed to the space of the | #21230 Eachreference model is transformed to the space of the target speaker and combined by averaging. | |
| other,10-8-H90-1060,ak | is transformed to the space of the <term> | target speaker | </term> and combined by averaging . Using | #21239 Each reference model is transformed to the space of thetarget speaker and combined by averaging. | |
| other,3-9-H90-1060,ak | combined by averaging . Using only 40 <term> | utterances | </term> from the <term> target speaker </term> | #21249 Using only 40utterances from the target speaker for adaptation, the error rate dropped to 4.1% --- a 45% reduction in error compared to the SI result. | |
| other,6-9-H90-1060,ak | 40 <term> utterances </term> from the <term> | target speaker | </term> for <term> adaptation </term> , the <term> | #21252 Using only 40 utterances from thetarget speaker for adaptation, the error rate dropped to 4.1% --- a 45% reduction in error compared to the SI result. | |
| tech,9-9-H90-1060,ak | the <term> target speaker </term> for <term> | adaptation | </term> , the <term> error rate </term> dropped | #21255 Using only 40 utterances from the target speaker foradaptation, the error rate dropped to 4.1% --- a 45% reduction in error compared to the SI result. | |
| measure(ment),12-9-H90-1060,ak | </term> for <term> adaptation </term> , the <term> | error rate | </term> dropped to 4.1 % --- a 45 % reduction | #21258 Using only 40 utterances from the target speaker for adaptation, theerror rate dropped to 4.1% --- a 45% reduction in error compared to the SI result. |
