Source: https://chs.asu.edu/visar-berisha
Timestamp: 2019-04-23 00:40:25+00:00

Document:
Visar Berisha joined Arizona State University in 2013 as an assistant professor with a joint appointment in the College of Health Solutions in speech and hearing sciences and the School of Electrical, Computer and Energy Engineering in the Ira A. Fulton Schools of Engineering. The overarching goal of his research is to develop and apply new machine learning and statistical signal processing tools to better understand and model signal perception. With a focus on speech, the goal is to develop reliable, data-driven models that can mimic aspects of human cognition. Some recent projects include developing models of pathological speech perception, developing auditory perception models based on psychoacoustics, and developing new machine learning tools for use with behavioral experiments. Making progress against these goals requires an interdisciplinary approach that spans multiple fields. Visar's contributions to this effort are centered on developing computational models guided by collected behavioral data.
Schwedt, T., *Peplinski, J., Berisha, V. (in press). Altered speech during migraine attacks: A prospective, longitudinal study of episodic migraine without aura. Cephalalgia.
Chong, C., *Peplinski, J., Berisha, V., Ross, K., Schwedt, T. (in press). Differences in Fibertract Profiles between Patients with Migraine and those with Persistent Post-Traumatic Headache Cephalalgia.
Rutkove, S., Qi, K., Shelton, K., Liss, J., Berisha, V., Shefner, J. (in press) ALS longitudinal studies with frequent data collection at home: study design and baseline data. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration.
*Utianski, R., *Sandoval, S., Berisha, V., Lansford, K., Liss, J. (in press) The effects of speech compression algorithms on the intelligibility of two individuals with dysarthric speech. American Journal of Speech-Language Pathology.
Howard, L., Dumkrieger, G., Chong, C., Ross, K., Berisha, V., Schwedt TJ. (in press) Symptoms of Autonomic Dysfunction Amongst Those with Persistent Post-Traumatic Headache Attributed to Mild Traumatic Brain Injury: a Comparison to Migraine and Healthy Controls. Headache.
Berisha, V., *Gilton, D., Baxter, L., Corman, S., Blais, C., Brewer, G., Ruston, S., Ball, H., Peter, B., Wingert, K., Rogalsky, C. (2018). Structural neural predictors of Farsi-English bilingualism. Brain and Language, 180, 42-49.
*Wisler, A., Berisha, V., Spanias, A., & Hero, A. O. (2017). Direct estimation of density functionals using a polynomial basis. IEEE Transactions on Signal Processing, 66(3), 558-572.
Schwedt, T. J., Chong, C. D., *Peplinski, J., Ross, K., & Berisha, V. (2017). Persistent post-traumatic headache vs. migraine: an MRI study demonstrating differences in brain structure. The journal of headache and pain, 18(1), 87.
Berisha, V., *Wang, S., LaCross, A., Liss, J., Garcia-Filion, P. (2017). Longitudinal changes in linguistic complexity among professional football players. Brain and language, 169, 57-63.
Xu, Z., Skorheim, S., *Tu, M., Berisha, V., Yu, S., Seo, J. S., ... & Cao, Y. (2017). Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing, 267, 141-151.
Hsu, S. C., *Jiao, Y., McAuliffe, M. J., Berisha, V., Wu, R. M., & Levy, E. S. (2017). Acoustic and perceptual speech characteristics of native Mandarin speakers with Parkinson's disease. The Journal of the Acoustical Society of America, 141(3), EL293-EL299.
*Jiao, Y., Berisha, V., Liss, J., *Hsu, S. C., Levy, E., & McAuliffe, M. (2017). Articulation entropy: An unsupervised measure of articulatory precision. IEEE Signal Processing Letters, 24(4), 485-489.
LaCross, A., Liss, J., Barragan, B., Adams, A., Berisha, V., McAuliffe, M., & Fromont, R. (2016). The role of stress and word size in Spanish speech segmentation. The Journal of the Acoustical Society of America, 140(6), EL484-EL490.
*Tu, M., *Wisler, A., Berisha, V., & Liss, J. M. (2016). The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance. The Journal of the Acoustical Society of America, 140(5), ELR416-EL422.
Lansford, K. L., Berisha, V., & *Utianski, R. L. (2016). Modeling listener perception of speaker similarity in dysarthria. The Journal of the Acoustical Society of America, 139(6), EL209-EL215.
Berisha, V., *Wisler, A., Hero, A. O., & Spanias, A. (2016). Empirically estimable classification bounds based on a nonparametric divergence measure. IEEE Transactions on Signal Processing, 64(3), 580-591.
*Jiao, Y., Berisha, V., *Tu, M., & Liss, J. (2015). Convex weighting criteria for speaking rate estimation. IEEE/ACM transactions on audio, speech, and language processing, 23(9), 1421-1430.
Berisha, V., *Wang, S., LaCross, A., & Liss, J. (2015). Tracking discourse complexity preceding Alzheimer's disease diagnosis: a case study comparing the press conferences of presidents Ronald Reagan and George Herbert Walker Bush. Journal of Alzheimer's Disease, 45(3), 959-963.
Berisha, V., & Hero, A. O. (2015). Empirical non-parametric estimation of the Fisher Information. IEEE Signal Processing Letters, 22(7), 988-992.
Schwedt, T. J., Berisha, V., & Chong, C. D. (2015). Temporal lobe cortical thickness correlations differentiate the migraine brain from the healthy brain. PLoS One, 10(2), e0116687.
Berisha, V., & Cochran, D. (2015). Active data labeling for improved classifier generalizability. Signal Processing, 108, 272-277.
Berisha, V., *Sandoval, S., Utianski, R., Liss, J., & Spanias, A. (2014). Characterizing the distribution of the quadrilateral vowel space area. The Journal of the Acoustical Society of America, 135(1), 421-427.
*Sandoval, S., Berisha, V., Utianski, R. L., Liss, J. M., & Spanias, A. (2013). Automatic assessment of vowel space area. The Journal of the Acoustical Society of America, 134(5), EL477-EL483.
Krishnamoorthi, H., Spanias, A., & Berisha, V. (2009). A frequency/detector pruning approach for loudness estimation. IEEE Signal Processing Letters, 16(11), 997-1000.
Kwon, H., Berisha, V., Atti, V., & Spanias, A. (2009). Experiments with sensor motes and Java-DSP. IEEE Transactions on Education, 52(2), 257-262.
Atti, V., Spanias, A., Tsakalis, K., Panayiotou, C., Iasemidis, L., & Berisha, V. (2008). Gradient projection-based channel equalization under sustained fading. Signal Processing, 88(2), 236-246.
Berisha, V., & Spanias, A. (2007). Wideband speech recovery using psychoacoustic criteria. EURASIP Journal on Audio, Speech, and Music Processing, 2007(2), 5-5.
Spanias, A., Huang, C. W., Natarajan, A., Ferzli, R., Kwon, H., Atti, V., Berisha, V., ... & Misra, S. (2007). Interfacing Java-DSP with a TI DSK for use in a signal processing class. Computers in Education Journal, 17(3), 27-35.
Dixit, A., Shankar, U., Spanias, A., Berisha, V., Banavar, M. Online Machine Learning Experiments using the new HTML5 Object Oriented Software. In Proceedings of Frontiers in Education Workshop, 2018.
Song, H., *Willi, M., Thuagarajan, J., Berisha, V., and Spanias, A. (2018) Triplet network with attention for speaker diarization. In Proceedings of 2018 Interspeech Conference.
*Jiao, Y., *Tu, M., Berisha, V., Liss, J. (2018) Simulating dysarthric speech for training data augmentation in clinical speech applications, In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
*Kadambi, P., Mohanty, A., Ren, H., Smith, J. McGuinnes, K., Holt, K., Furtwaengler, A., Slepetys, R., Yang, Z., Seo, J., Chae, J., Cao, Y. Berisha, V. (2018) Towards a wearable cough detector based on neural networks, In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
*Kadambi, P., *Wisler, A., Berisha, V. (2017) Improved Finite-Sample Estimate of a Nonparametric f-Divergence.In Proc of Asilomar Conference on Signals, Systems, and Computers. IEEE.
Berisha, V., Liss, J., *Huston, T., *Wisler, A., *Jiao, Y., & Eig, J. (2017). Float like a butterfly sting like a bee: Changes in speech preceded Parkinsonism diagnosis for Muhammad Ali. Proc. Interspeech 2017, 1809-1813.
*Jiao, Y., Berisha, V., & Liss, J. (2017, March). Interpretable phonological features for clinical applications. In Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on (pp. 5045-5049). IEEE.
*Tu, M., Berisha, V., & Liss, J. (2017, March). Objective assessment of pathological speech using distribution regression. In Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on (pp. 5050-5054). IEEE.
*Kawabata, K., Berisha, V., Scaglione, A., LaCross, A. (2016). A convex model for linguistic influence in group conversations. In INTERSPEECH (pp. 1442-1446).
*Jiao, Y., Tu, M., Berisha, V., & Liss, J. M. (2016). Accent identification by combining deep neural networks and recurrent neural networks trained on long and short term features. In INTERSPEECH (pp. 2388-2392).
*Tu, M., Berisha, V., Woolf, M., Seo, J. S., & Cao, Y. (2016, March). Ranking the parameters of deep neural networks using the fisher information. In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on (pp. 2647-2651). IEEE.
*Jiao, Y., *Tu, M., Berisha, V., & Liss, J. (2016, March). Online speaking rate estimation using recurrent neural networks. In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on (pp. 5245-5249). IEEE.
*Wisler, A., Berisha, V., Wei, D., Ramamurthy, K., & Spanias, A. (2016, March). Empirically-estimable multi-class classification bounds. In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on (pp. 2594-2598). IEEE.
*Wisler, A., Berisha, V., Ramamurthy, K., Spanias, A., & Liss, J. (2015, April). Removing data with noisy responses in regression analysis. In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on (pp. 2066-2070). IEEE.
*Wisler, A., Berisha, V., Liss, J., & Spanias, A. (2014, December). Domain invariant speech features using a new divergence measure. In Spoken Language Technology Workshop (SLT), 2014 IEEE (pp. 77-82). IEEE.
Berisha, V., Liss, J., *Sandoval, S., Utianski, R., & Spanias, A. (2014, May). Modeling pathological speech perception from data with similarity labels. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on (pp. 915-919). IEEE.
Berisha, V., Utianski, R., & Liss, J. (2013, May). Towards a clinical tool for automatic intelligibility assessment. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on (pp. 2825-2828). IEEE.
Berisha, V., Javadi, A., Hammet, K. R., Anderson, D. V., & Gray, A. (2010, November). Making decisions about unseen data: Semi-supervised learning at different levels of specificity. In Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on (pp. 75-79). IEEE.
Krishnamoorthi, H., Spanias, A., Berisha, V., Kwon, H., & Thornburg, H. (2010, March). An auditory-domain based speech enhancement algorithm. In Acoustics, Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on (pp. 4786-4789). IEEE.
Thiagarajan, J. J., Ramamurthy, K. N., Knee, P., Spanias, A., & Berisha, V. (2010, March). Sparse representations for automatic target classification in SAR images. In Communications, Control and Signal Processing (ISCCSP), 2010 4th International Symposium on (pp. 1-4). IEEE.
Kwon, H., Krishnamoorthi, H., Berisha, V., & Spanias, A. (2009, May). A sensor network for real-time acoustic scene analysis. In Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on (pp. 169-172). IEEE.
Krishnamoorthi, H., Berisha, V., Spanias, A., & Kwon, H. (2009, April). Low-complexity sinusoidal component selection using loudness patterns. In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on (pp. 301-304). IEEE.
Philips, S., Berisha, V., & Spanias, A. (2009, April). Energy-constrained discriminant analysis. In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on (pp. 3281-3284). IEEE.
Berisha, V., Benitz, G., Martinez, B., and Kogon, S. (2008, June). Radar Classification of Persons Based on Gait Analysis. In 2008 Proceedings of the Tri-Service Radar Symposium.
Kwon, H., Berisha, V., & Spanias, A. (2008, May). Real-time sensing and acoustic scene characterization for security applications. In Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on (pp. 755-758). IEEE.
Krishnamoorthi, H., Berisha, V., & Spanias, A. (2008, March). A low-complexity loudness estimation algorithm. In Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on (pp. 361-364). IEEE.
Berisha, V., & Spanias, A. (2007, April). A scalable bandwidth extension algorithm. In Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on (Vol. 4, pp. IV-601). IEEE.
Berisha, V., Shah, N., Waagen, D., Schmitt, H., Bellofiore, S., Spanias, A., & Cochran, D. (2007, April). Sparse manifold learning with applications to SAR image classification. In Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on (Vol. 3, pp. III-1089). IEEE.
Berisha, V., & Spanias, A. (2006, October). Bandwidth extension of audio based on partial loudness criteria. In Multimedia Signal Processing, 2006 IEEE 8th Workshop on (pp. 146-149). IEEE.
Kwon, H., Berisha, V., & Spanias, A. (2006, September). Distributed Sensing with Java-DSP. In Digital Signal Processing Workshop, 12th-Signal Processing Education Workshop, 4th (pp. 311-315). IEEE.
Berisha, V., Kwon, H., & Spanias, A. (2006, May). Real-time collaborative monitoring in wireless sensor networks. In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on (Vol. 3, pp. III-III). IEEE.
Berisha, V., Kwon, H., & Spanias, A. (2006, May). Real-time acoustic monitoring using wireless sensor motes. In Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on (pp. 4-pp). IEEE.
Berisha, V., & Spanias, A. (2005, October). Enhancing the quality of coded audio using perceptual criteria. In Multimedia Signal Processing, 2005 IEEE 7th Workshop on (pp. 1-4). IEEE.
Berisha, V., & Spanias, A. (2005, May). Enhancing vocoder performance for music signals. In Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on (pp. 4050-4053). IEEE.
Song, Y., Spanias, A., Atti, V., & Berisha, V. (2005, March). Interactive Java modules for the MPEG-1 psychoacoustic model [audio coding teaching applications]. In Acoustics, Speech and Signal Processing, 2005. Proceedings. (ICASSP’05). IEEE International Conference on (Vol. 5, pp. v-581). IEEE.
Berisha, V., Liss, J., *Tu, M. (2018). A primer on clinical-speech applications of deep learning, Motor Speech Conference, Savannah, GA.
*Schiltz, J. H., & Berisha, V. (2016). The role of the carrier waveform in vocoded Mandarin speech perception with applications to cochlear implants. The Journal of the Acoustical Society of America, 139(4), 2047-2047.
Berisha, V., & Liss, J. (2016). Objective evaluation of perceptual quality in the dysarthrias: an engineering perspective. Motor Speech Conference, Savannah, GA.
Schatzki, M., *Wang, S., Berisha, V., Zhong, X. (2014). Using Real-Time Automatic Speech Recognition in Accent Modification Practice. American Speech and Hearing Association Convention, Orlando, FL.
Zhong, X., *Wang, S., Schatzki, M., Berisha, V. (2014). Development of an Individualized Accented Speech Training System. American Speech and Hearing Association Convention, Orlando, FL.
Utianski, R. L., *Sandoval, S., Berisha, V., & Liss, J. (2013). The effects of speech compression algorithms on the intelligibility of dysarthric speech. The Journal of the Acoustical Society of America, 134(5), 4132-4132.
*Sandoval, S., Utianski, R., Berisha, V., Liss, J., & Spanias, A. (2013). Feature divergence of pathological speech. The Journal of the Acoustical Society of America, 134(5), 4133-4133.
Berisha, V. (2018, July). Speech and language analytics for early detection of neurological decline. Invited presentation at the 2018 American Academy of Neurology Sports Concussion Conference, Indianapolis, IN.
Berisha, V. (2018, April). Clinical speech analytics: interpretable algorithms and information limits. Seminar presented at the University of California Los Angeles, Los Angeles, CA.
Berisha, V. (2018, April). Detecting paralinguistic information from speech for clinical applications: Interpretable algorithms and information limits. Seminar presented at the IEEE Dallas Chapter of Signal Processing Society, Dallas, TX.
Berisha, V., & Liss, J. (2017, December). New technologies for measures of clinical progression. Seminar presented at the 28th International Symposium on ALS/MND, Boston, MA.
Berisha, V. (2017, March). Detecting paralinguistic information from speech for clinical applications: Interpretable algorithms and information limits. Seminar presented at the University of Southern California Signal Analysis and Interpretation Laboratory, Ming Hsieh Department of Electrical Engineering, Los Angeles, CA.
Berisha, V. (2016, December). Speech and language analytics for health applications. Seminar presented at the University of Arizona Fall Colloquium Series. Tucson, AZ.
Berisha, V. (2015, November). Tracking outcome measures in neurological disorders through speech and language processing. Seminar presented at the Mayo Clinic Neuroscience Conference, Scottsdale, AZ.
Berisha, V. (2007, September). Speech compression using loudness criteria. Seminar presented at Lincoln Laboratory, Boston, MA.
Berisha, V. (2007, November). Speech enhancement using perceptual criteria. Seminar presented at Center for Computer Research in Music and Acoustics at Stanford University, Palo Alto, CA.
Berisha, V. (2007, December). Recent developments in bandwidth extension of speech. Seminar presented at Microsoft Research, Redmond, WA.
Notes: Later transitioned to Michael Dorman due to conflict of interest. Does not appear in Sponsored Activity Report and I do not count it as a part of the total amount reported.

References: V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V. 
 V.