Stephen Voran
Research interests: Signal Processing, Speech and Audio Processing, and Machine Learning
Stephen D. Voran (Senior Member, IEEE) received the B.A. degree in mathematics from the Carleton College, Northfield, MN, USA, in 1985, and the M.S. degree in ...
Andrew A. Catellier, Stephen D. Voran: Wawenets: A No-Reference Convolutional Waveform-Based Approach to Estimating Narrowband and Wideband Speech Quality.
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We describe a new convolutional framework for waveform evaluation, WEnets, and build a Narrowband Audio Waveform Evaluation Network, or NAWEnet, using this ...
In FY 2020, Principal Investigator Stephen Voran was honored with the U.S. ... Catellier and Stephen D. Voran, “WAWEnets: A No-Reference Convolutional ...
This creates a strong demand for efficient real-time measurements of quality and intelligibly. Wideband Audio Waveform Evaluation Networks (WAWEnets) are ...
We present ABC-MRT16—a new algorithm for objective estimation of speech intelligibility following the Modified Rhyme Test (MRT) paradigm.
Estimation of system gain and bias using noisy observations with known noise power ratio / Stephen D. Voran. By: Voran, Stephen D · United States.
Aug 5, 2024 · ITS researchers Jaden Pieper and Stephen D. Voran analyzed nearly 2,600 clips of real-world audio from a 2023 conference that included ...
