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Visar Berisha
Arizona State University
114Publications
11H-index
437Citations
Publications 114
Newest
Mohit Shah6
Estimated H-index: 6
(ASU: Arizona State University),
Ming Tu4
Estimated H-index: 4
(ASU: Arizona State University)
+ 2 AuthorsAndreas Spanias26
Estimated H-index: 26
(ASU: Arizona State University)
Speech emotion recognition methods combining articulatory information with acoustic features have been previously shown to improve recognition performance. Collection of articulatory data on a large scale may not be feasible in many scenarios, thus restricting the scope and applicability of such methods. In this paper, a discriminative learning method for emotion recognition using both articulatory and acoustic information is proposed. A traditional l1-regularized logistic regression cost functi...
Published on Sep 20, 2019in Journal of Speech Language and Hearing Research1.75
Yishan Jiao3
Estimated H-index: 3
(ASU: Arizona State University),
Amy LaCross3
Estimated H-index: 3
(ASU: Arizona State University)
+ 1 AuthorsJulie M. Liss24
Estimated H-index: 24
(ASU: Arizona State University)
Purpose Subjective speech intelligibility assessment is often preferred over more objective approaches that rely on transcript scoring. This is, in part, because of the intensive manual labor assoc...
Published on Sep 15, 2019 in INTERSPEECH (Conference of the International Speech Communication Association)
Yan Xiong , Visar Berisha11
Estimated H-index: 11
(ASU: Arizona State University),
Chaitali Chakrabarti36
Estimated H-index: 36
(ASU: Arizona State University)
Published on Sep 15, 2019 in INTERSPEECH (Conference of the International Speech Communication Association)
Nichola Lubold6
Estimated H-index: 6
(ASU: Arizona State University),
Stephanie A. Borrie8
Estimated H-index: 8
(USU: Utah State University)
+ 2 AuthorsVisar Berisha11
Estimated H-index: 11
(ASU: Arizona State University)
Published on Sep 15, 2019 in INTERSPEECH (Conference of the International Speech Communication Association)
Meredith Moore (ASU: Arizona State University), Michael Saxon (ASU: Arizona State University)+ 2 AuthorsSethuraman Panchanathan30
Estimated H-index: 30
(ASU: Arizona State University)
Published on Sep 15, 2019 in INTERSPEECH (Conference of the International Speech Communication Association)
Rohit Voleti1
Estimated H-index: 1
(ASU: Arizona State University),
Stephanie Woolridge1
Estimated H-index: 1
(Queen's University)
+ 3 AuthorsVisar Berisha11
Estimated H-index: 11
(ASU: Arizona State University)
Published on Mar 26, 2019in Cephalalgia4.44
Catherine D. Chong11
Estimated H-index: 11
(Mayo Clinic),
Jacob Peplinski1
Estimated H-index: 1
(ASU: Arizona State University)
+ 2 AuthorsTodd J. Schwedt27
Estimated H-index: 27
(Mayo Clinic)
ObjectivesOften, persistent post-traumatic headache and migraine are phenotypically similar. However, the similarities and differences in the neuropathological underpinnings of persistent post-traumatic headache and migraine require further understanding. We used diffusion tensor imaging (DTI) and a novel method for detecting subtle changes in fibertract integrity by measuring node-by-node parameters along each tract to compare fibertract profiles between those with migraine and those with persi...
Published on Aug 1, 2019in Circuits Systems and Signal Processing1.92
Tokunbo Ogunfunmi13
Estimated H-index: 13
(Santa Clara University),
Ravi P. Ramachandran (Rowan University)+ 2 AuthorsVisar Berisha11
Estimated H-index: 11
(ASU: Arizona State University)
Published on May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
Gaurav Srivastava6
Estimated H-index: 6
(DIT University),
Gaurav Srivastava1
Estimated H-index: 1
(ASU: Arizona State University)
+ 3 AuthorsJae-sun Seo14
Estimated H-index: 14
(ASU: Arizona State University)
The usage of Deep Neural Networks (DNN) on resource-constrained edge devices has been limited due to their high computation and large memory requirement. In this work, we propose an algorithm to compress DNNs by jointly optimizing structured sparsity and quantization constraints in a single DNN training framework. The proposed algorithm has been extensively validated on high/low capacity DNNs and wide/deep sparse DNNs. Further, we perform Pareto-optimal analysis to extract optimal DNN models fro...
Published on May 1, 2019in Cephalalgia4.44
Todd J. Schwedt27
Estimated H-index: 27
(Mayo Clinic),
Jacob Peplinski1
Estimated H-index: 1
(ASU: Arizona State University)
+ 1 AuthorsVisar Berisha11
Estimated H-index: 11
Background and ObjectiveSome individuals with migraine report the presence of speech changes during their migraine attacks. The goal of this study was to compare objective features of speech during the migraine pre-attack, the migraine attack, and during the interictal period.MethodsThis was a prospective, longitudinal, observational study of adults with episodic migraine and healthy non-migraine controls. Participants provided speech samples three times per day using a speech elicitation tool i...
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