2017
Enhancing noise and pitch robustness of children's ASR
ICASSP 2017accepted
It is well known that, when noisy speech is transcribed using automatic speech recognition (ASR) systems trained on clean data, a highly degraded recognition performance is obtained. The problemgets further aggravatedwhen the targeted group happens to be child speakers. For children's speech, the ac…