Search Results for author: Brad Story

Found 2 papers, 2 papers with code

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

1 code implementation31 Aug 2023 Dhananjaya Gowda, Sudarsana Reddy Kadiri, Brad Story, Paavo Alku

Formant tracking experiments with a wide variety of synthetic and natural speech signals show that the proposed TVQCP method performs better than conventional and popular formant tracking tools, such as Wavesurfer and Praat (based on dynamic programming), the KARMA algorithm (based on Kalman filtering), and DeepFormants (based on deep neural networks trained in a supervised manner).

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