898 research outputs found

    Spoof detection using time-delay shallow neural network and feature switching

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    Detecting spoofed utterances is a fundamental problem in voice-based biometrics. Spoofing can be performed either by logical accesses like speech synthesis, voice conversion or by physical accesses such as replaying the pre-recorded utterance. Inspired by the state-of-the-art \emph{x}-vector based speaker verification approach, this paper proposes a time-delay shallow neural network (TD-SNN) for spoof detection for both logical and physical access. The novelty of the proposed TD-SNN system vis-a-vis conventional DNN systems is that it can handle variable length utterances during testing. Performance of the proposed TD-SNN systems and the baseline Gaussian mixture models (GMMs) is analyzed on the ASV-spoof-2019 dataset. The performance of the systems is measured in terms of the minimum normalized tandem detection cost function (min-t-DCF). When studied with individual features, the TD-SNN system consistently outperforms the GMM system for physical access. For logical access, GMM surpasses TD-SNN systems for certain individual features. When combined with the decision-level feature switching (DLFS) paradigm, the best TD-SNN system outperforms the best baseline GMM system on evaluation data with a relative improvement of 48.03\% and 49.47\% for both logical and physical access, respectively

    The hot Gamma-Doradus and Maia stars

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    The hot γ\gamma~Doradus stars have multiple low frequencies characteristic of γ\gamma~Dor or SPB variables, but are located between the red edge of the SPB and the blue edge of the γ\gamma~Dor instability strips where all low-frequency modes are stable in current models of these stars. Though δ\delta~Sct stars also have low frequencies, there is no sign of high frequencies in hot γ\gamma~Dor stars. We obtained spectra to refine the locations of some of these stars in the H-R diagram and conclude that these are, indeed, anomalous pulsating stars. The Maia variables have multiple high frequencies characteristic of β\beta~Cep and δ\delta~Sct stars, but lie between the red edge of the β\beta~Cep and the blue edge of the δ\delta~Sct instability strips. We compile a list of all Maia candidates and obtain spectra of two of these stars. Again, it seems likely that these are anomalous pulsating stars which are currently not understood.Comment: 10 pages, 8 figures, 2016, MNRAS, 460, 131

    A comparative study of efficacy of intravenous dexmedetomidine and intravenous esmolol for attenuation of stress response during laryngoscopy and endotracheal intubation

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    Background: The present study compares the effects of I.V. dexmedetomidine and I.V. esmolol on hemodynamic response occurring due to laryngoscopy and endotracheal intubation in elective general surgery.Methods: A total of 60 patients aged 18-60 years, American Society of Anesthesiologists physical status I or II, either sex, scheduled for elective surgical procedures were included in this study. Patients were randomly allocated by chit method into two equal groups of 30 each, comprising of group dexmedetomidine (group D) 1 μg/kg diluted with 0.9% saline to 10 ml I.V. over 10min and group esmolol (group E) 1 mg/kg diluted with 0.9% saline to 10 ml I.V. given just before induction. Heart rate, systolic blood pressure, diastolic blood pressure, and mean arterial pressure were recorded at baseline, after 5 min of infusion, after induction and at 1, 3, 5 and 10 min after endotracheal intubation.Results: In group D, there was no statistically significant increase in HR and blood pressure after intubation at any time intervals, where as in group E, there was a statistically significant increase in blood pressure and heart rate after intubation at 1, 3, 5 and 10 min.Conclusions: Dexmedetomidine 1 μg/kg is more effective than esmolol for attenuating the hemodynamic response to laryngoscopy and intubation in elective surgical patients
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