147,998 research outputs found
Local reconstruction method and voice system
AbstractIt is shown that a local reconstruction method from a nonuniform sampled data along with discrete wavelet transform and a simple statistical method is applicable in a voice system
Software Corrections of Vocal Disorders
We discuss how vocal disorders can be post-corrected via a simple nonlinear
noise reduction scheme. This work is motivated by the need of a better
understanding of voice dysfunctions. This would entail a twofold advantage for
affected patients: Physicians can perform better surgical interventions and on
the other hand researchers can try to build up devices that can help to improve
voice quality, i.e. in a phone conversation, avoiding any surgigal treatment.
As a first step, a proper signal classification is performed, through the idea
of geometric signal separation in a feature space. Then through the analysis of
the different regions populated by the samples coming from healthy people and
from patients affected by T1A glottis cancer, one is able to understand which
kind of interventions are necessary in order to correct the illness, i.e. to
move the corresponding feature vector from the sick region to the healthy one.
We discuss such a filter and show its performance.Comment: Computer Methods and Programs in Biomedicine, accepted for
publicatio
An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services
Voice over IP (VoIP) is becoming very popular due to the huge range of services that can be implemented by integrating different media (voice, audio, data, etc.). Besides, voice-enabled interfaces for those services are being very actively researched. Nevertheless the impoverishment of voice quality due to packet losses severely affects the speech recognizers supporting those interfaces ([8]). In this paper, we have compared the usual lost packets reconstruction method with an SVM-based one that outperforms previous results
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