3 accepted papers
In this paper, we have explored the role of combining prosodic variables with the existing acoustic features in the context of children's speech recognition using acoustic models trained on adults' speech. The explored acoustic features are Mel-frequency cepstral coefficients (MFCC) and perceptual l…
A novel front-end speech parameterization technique that is robust towards ambient noise and pitch variations is proposed in this paper. In the proposed technique, the short-time magnitude spectrum obtained by discrete Fourier transform is first decomposed in several components using variational mod…
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…