4 accepted papers
In this paper, we present our efforts towards developing a robust automatic speaker verification (ASV) system for children when the domain-specific data is limited. For that purpose, we have studied the effect of in-domain and out-of-domain data augmentation. Several different combinations of data a…
In this paper, we explore the possibility of using the WaveNet architecture as a statistical vocoder. In that case, the generation of speech waveforms is locally conditioned only by acoustic features. Focusing on the single speaker case at the moment, we investigate the impact of the local condition…
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…
In this work, new method of source modeling for HMM based speech synthesis is proposed using integrated LP residual (ILPR). The nature of ILPR waveform resembles the glottal flow derivative signal and may keep the speaker characteristics in a better way. The ILPR signal is modeled in the frequency d…