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Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals

Autor: Gowda, Dhananjaya, Kadiri, Sudarsana Reddy, Story, Brad, Alku, Paavo

Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 1901-1914, 2020

In this paper, we propose a new method for the accurate estimation and tracking of formants in speech signals using time-varying quasi-closed-phase (TVQCP) analysis. Conventional formant tracking methods typically adopt a two-stage estimate-and-track

Externí odkaz: http://arxiv.org/abs/2308.16540

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Prospectively accelerated dynamic speech MRI at 3 Tesla using a self-navigated spiral based manifold regularized scheme

Autor: Rusho, Rushdi Zahid, Ahmed, Abdul Haseeb, Kruger, Stanley, Alam, Wahidul, Meyer, David, Howard, David, Story, Brad, Jacob, Mathews, Lingala, Sajan Goud

This work proposes a self-navigated variable density spiral(VDS) based manifold regularization scheme to prospectively improve dynamic speech MRI at 3T. Short readout 1.3ms spirals were used to minimize off-resonance. A custom 16-channel speech coil

Externí odkaz: http://arxiv.org/abs/2209.02768

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