Steven Sandoval

Electrical Engineer, PhD



StevenSandoval.info

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Selected Research

Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model

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Copyright Notice

The following work is copyrighted by the IEEE.

S. Sandoval and P. L. De Leon “Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model,” The IEEE Global Conference on Signal and Information Processing, Nov. 2018.

This work has been accepted but not yet published.

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Using Linear Prediction to Mitigate End Effects in Empirical Mode Decomposition

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Copyright Notice

The following work is copyrighted by the IEEE.

S. Sandoval and P. L. De Leon “Using Linear Prediction to Mitigate End Effects in Empirical Mode Decomposition,” The IEEE Global Conference on Signal and Information Processing, Nov. 2018.

This work has been accepted but not yet published.

Click here to access a copy of this work.

Advances in Empirical Mode Decomposition for Computing Instantaneous Amplitudes and Instantaneous Frequencies

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Copyright Notice

The following work is copyrighted by the IEEE.

S. Sandoval and P. L. De Leon “Advances in Empirical Mode Decomposition for Computing Instantaneous Amplitudes and Instantaneous Frequencies,” The IEEE International Conference on Acoustics, Speech and Signal Processing , Mar. 2017.

The official version can be obtained at DOI: 10.1109/ICASSP.2017.7952970.

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Analysis of Vowels Using Intrinsic Mode Functions

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Copyright Notice

The following work is copyrighted by the IEEE.

S. Sandoval, P. L. De Leon, J. M. Liss “Hilbert spectral analysis of vowels using intrinsic mode functions,” IEEE Workshop on Automatic Speech Recognition and Understanding, Dec. 2015.

The official version can be obtained at DOI: 10.1109/ASRU.2015.7404846.

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Vowel Space Area

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Copyright Notice

The following work is copyrighted by the Acoustical Sociey of America.

S. Sandoval, V. Berisha, R. L. Utianski, J. M. Liss, and A. Spanias, “Automatic assessment of vowel space area,” The Journal of the Acoustical Society of America, vol. 134, no. 5, pp. EL477-EL483, 2013.

The official version can be obtained at DOI: 10.1121/1.4826150.

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(related code)

Cepstrum Processing

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Copyright Notice

The following work is copyrighted by the IEEE.

L. E. Boucheron, P. L. De Leon, and S. Sandoval, “Low Bit-Rate Speech Coding through Quantization of Mel-Frequency Cepstral Coefficients,” IEEE Transactions on Audio, Speech, and Language Processing, vol.20, no.2, pp.610-619, Feb. 2012.

The official version can be obtained at DOI: 10.1109/TASL.2011.2162407.

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(related code)

Bio

Born and raised in Las Cruces, NM.

During my undergraduate studies, I was a member of the NMSU Flying Aggies Student Research Team. As a team member, I participated in NASA’s Reduced Gravity Student Flight Program , a national competition for flight slots. All three of my team’s projects were accepted and two were tested aboard NASA’s KC-135 at Johnson Space Center.

I also participated in the New Mexico Alliance for Minority Participation (AMP) Student Research Program, and obtained a New Mexico Space Grant Fellowship . As a member of the Summer Undergraduate Research Fellowship at Caltech , I completed a single internship at the NASA Jet Propulsion Laboratory followed by a second internship at Honeywell International .

Received the B.S. Electrical Engineering in 2007, and M.S. Electrical Engineering in 2010 from the Klipsch School of Electrical and Computer Engineering , New Mexico State University, Las Cruces, NM. Durring my graduate studies at NMSU, I worked full-time for a defense contractor at White Sands Missile Range .

In 2012, I began working on the Ph.D. degree in electrical engineering in the Ira A. Fulton Schools of Engineering , Arizona State University, Tempe, AZ. In 2014, I obtained a fellowship from the Acoustical Society of America . In May 2016, I completed an intership at Cirrus Logic and recieved the Ph.D. degree in electrical engineering from ASU. Fall 2016, I returned to the Klipsch School of Electrical and Computer Engineering at New Mexico State University as an instructor/faculty. My research interests include signal processing, specifically audio and speech processing, time-frequency analysis, machine learning, and robotics. My personal interests include being outdoors, gardening, swimming, playing the flute, and video games.