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2020 – today
- 2020
[j17]Deepak Kadetotad, Shihui Yin
, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo:
An 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity for On-Device Speech Recognition. IEEE J. Solid State Circuits 55(7): 1877-1887 (2020)- [j16]Rohit Voleti, Julie M. Liss, Visar Berisha:
A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders. IEEE J. Sel. Top. Signal Process. 14(2): 282-298 (2020) - [j15]Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie M. Liss, Visar Berisha:
Robust Estimation of Hypernasality in Dysarthria With Acoustic Model Likelihood Features. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2511-2522 (2020) - [c57]Weizhi Li, Gautam Dasarathy, Visar Berisha:
Regularization via Structural Label Smoothing. AISTATS 2020: 1453-1463 - [c56]Vikram C. Mathad, Kathy Chapman, Julie Liss, Nancy Scherer, Visar Berisha:
Deep Learning Based Prediction of Hypernasality for Clinical Applications. ICASSP 2020: 6554-6558 - [c55]Deepak Kadetotad, Jian Meng, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo:
Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity. INTERSPEECH 2020: 21-25 - [c54]Meredith Moore, Piyush Papreja, Michael Saxon, Visar Berisha, Sethuraman Panchanathan:
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech. INTERSPEECH 2020: 2532-2536 - [c53]Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha:
Finding the Homology of Decision Boundaries with Active Learning. NeurIPS 2020 - [i15]Weizhi Li, Gautam Dasarathy, Visar Berisha:
Regularization via Structural Label Smoothing. CoRR abs/2001.01900 (2020) - [i14]Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha:
Finding the Homology of Decision Boundaries with Active Learning. CoRR abs/2011.09645 (2020)
2010 – 2019
- 2019
- [j14]Tokunbo Ogunfunmi, Ravi P. Ramachandran, Roberto Togneri, Brett Y. Smolenski, Visar Berisha:
Guest Editorial: Algorithms and Architectures for Machine Learning Based Speech Processing. Circuits Syst. Signal Process. 38(8): 3399-3405 (2019) - [j13]Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti, Andreas Spanias:
Articulation constrained learning with application to speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2019: 14 (2019) - [c52]Deepak Kadetotad, Visar Berisha, Chaitali Chakrabarti, Jae-Sun Seo:
A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip. ESSCIRC 2019: 119-122 - [c51]Gaurav Srivastava, Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo:
Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks. ICASSP 2019: 1393-1397 - [c50]Jacob Peplinski, Visar Berisha, Julie Liss, Shira Hahn, Jeremy Shefner, Seward B. Rutkove, Kristin Qi, Kerisa Shelton:
Objective Assessment of Vocal Tremor. ICASSP 2019: 6386-6390 - [c49]Michael Saxon, Julie Liss, Visar Berisha:
Objective Measures of Plosive Nasalization in Hypernasal Speech. ICASSP 2019: 6520-6524 - [c48]Rohit Voleti, Julie M. Liss, Visar Berisha:
Investigating the Effects of Word Substitution Errors on Sentence Embeddings. ICASSP 2019: 7315-7319 - [c47]Rohit Voleti, Stephanie Woolridge, Julie M. Liss, Melissa Milanovic, Christopher R. Bowie, Visar Berisha:
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder. INTERSPEECH 2019: 1433-1437 - [c46]Nichola Lubold, Stephanie A. Borrie, Tyson S. Barrett, Megan M. Willi, Visar Berisha:
Do Conversational Partners Entrain on Articulatory Precision? INTERSPEECH 2019: 1931-1935 - [c45]Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan:
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. INTERSPEECH 2019: 2528-2532 - [c44]Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Residual + Capsule Networks (ResCap) for Simultaneous Single-Channel Overlapped Keyword Recognition. INTERSPEECH 2019: 3337-3341 - [i13]Rohit Voleti, Stephanie Woolridge, Julie M. Liss, Melissa Milanovic, Christopher R. Bowie, Visar Berisha:
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder. CoRR abs/1904.10622 (2019) - [i12]Rohit Voleti, Julie M. Liss, Visar Berisha:
A Review of Language and Speech Features for Cognitive-Linguistic Assessment. CoRR abs/1906.01157 (2019) - [i11]Michael Saxon, Ayush Tripathi, Yishan Jiao, Julie Liss, Visar Berisha:
Robust Estimation of Hypernasality in Dysarthria. CoRR abs/1911.11360 (2019) - 2018
- [j12]Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
Direct Estimation of Density Functionals Using a Polynomial Basis. IEEE Trans. Signal Process. 66(3): 558-572 (2018) - [c43]Abhinav Dixit, Uday Shankar Shanthamallu, Andreas Spanias, Visar Berisha, Mahesh K. Banavar:
Online Machine Learning Experiments in HTML5. FIE 2018: 1-5 - [c42]Prad Kadambi, Abinash Mohanty, Hao Ren, Jaclyn Smith, Kevin McGuinnes, Kimberly Holt, Armin Furtwaengler, Roberto Slepetys, Zheng Yang, Jae-sun Seo, Junseok Chae, Yu Cao, Visar Berisha:
Towards a Wearable Cough Detector Based on Neural Networks. ICASSP 2018: 2161-2165 - [c41]Alan Wisler, Kevin Moon, Visar Berisha:
Direct Ensemble Estimation of Density Functionals. ICASSP 2018: 2866-2870 - [c40]Yishan Jiao, Ming Tu, Visar Berisha, Julie Liss:
Simulating Dysarthric Speech for Training Data Augmentation in Clinical Speech Applications. ICASSP 2018: 6009-6013 - [c39]Megan M. Willi, Stephanie A. Borrie, Tyson S. Barrett, Ming Tu, Visar Berisha:
A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment. INTERSPEECH 2018: 581-585 - [c38]Ming Tu, Anna Grabek, Julie Liss, Visar Berisha:
Investigating the Role of L1 in Automatic Pronunciation Evaluation of L2 Speech. INTERSPEECH 2018: 1636-1640 - [c37]Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. INTERSPEECH 2018: 3608-3612 - [i10]Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, Jae-sun Seo:
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression. CoRR abs/1804.07370 (2018) - [i9]Megan M. Willi, Stephanie A. Borrie, Tyson S. Barrett, Ming Tu, Visar Berisha:
A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment. CoRR abs/1804.08663 (2018) - [i8]Ming Tu, Anna Grabek, Julie Liss, Visar Berisha:
Investigating the role of L1 in automatic pronunciation evaluation of L2 speech. CoRR abs/1807.01738 (2018) - [i7]Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. CoRR abs/1808.01535 (2018) - [i6]Rohit Voleti, Julie M. Liss, Visar Berisha:
Investigating the Effects of Word Substitution Errors on Sentence Embeddings. CoRR abs/1811.07021 (2018) - 2017
- [j11]Zihan Xu, Steven Skorheim, Ming Tu, Visar Berisha, Shimeng Yu, Jae-sun Seo, Maxim Bazhenov, Yu Cao:
Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing 267: 141-151 (2017) - [j10]Yishan Jiao, Visar Berisha, Julie Liss, Sih-Chiao Hsu, Erika Levy, Megan McAuliffe:
Articulation Entropy: An Unsupervised Measure of Articulatory Precision. IEEE Signal Process. Lett. 24(4): 485-489 (2017) - [c36]Prad Kadambi, Alan Wisler, Visar Berisha:
Improved finite-sample estimate of a nonparametric f-divergence. ACSSC 2017: 875-879 - [c35]Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, Jae-sun Seo:
Minimizing area and energy of deep learning hardware design using collective low precision and structured compression. ACSSC 2017: 1907-1911 - [c34]Yishan Jiao, Visar Berisha, Julie Liss:
Interpretable phonological features for clinical applications. ICASSP 2017: 5045-5049 - [c33]Ming Tu, Visar Berisha, Julie Liss:
Objective assessment of pathological speech using distribution regression. ICASSP 2017: 5050-5054 - [c32]Visar Berisha, Julie Liss, Timothy Huston, Alan Wisler, Yishan Jiao, Jonathan Eig:
Float Like a Butterfly Sting Like a Bee: Changes in Speech Preceded Parkinsonism Diagnosis for Muhammad Ali. INTERSPEECH 2017: 1809-1813 - [c31]Ming Tu, Visar Berisha, Julie Liss:
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks. INTERSPEECH 2017: 1849-1853 - [i5]Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
A data-driven basis for direct estimation of functionals of distributions. CoRR abs/1702.06516 (2017) - [i4]Alan Wisler, Kevin Moon, Visar Berisha:
Direct Ensemble Estimation of Density Functionals. CoRR abs/1705.06315 (2017) - 2016
- [j9]Visar Berisha, Alan Wisler, Alfred O. Hero III, Andreas Spanias:
Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. IEEE Trans. Signal Process. 64(3): 580-591 (2016) - [c30]Ming Tu, Yishan Jiao, Visar Berisha, Julie M. Liss:
Models for objective evaluation of dysarthric speech from data annotated by multiple listeners. ACSSC 2016: 827-830 - [c29]Alan Wisler, Visar Berisha, Andreas Spanias, Julie M. Liss:
Noise robust dysarthric speech classification using domain adaptation. DMIAF 2016: 135-138 - [c28]Alan Wisler, Visar Berisha, Dennis Wei, Karthikeyan Ramamurthy, Andreas Spanias:
Empirically-estimable multi-class classification bounds. ICASSP 2016: 2594-2598 - [c27]Ming Tu, Visar Berisha, Martin Woolf, Jae-sun Seo, Yu Cao:
Ranking the parameters of deep neural networks using the fisher information. ICASSP 2016: 2647-2651 - [c26]Yishan Jiao, Ming Tu, Visar Berisha, Julie M. Liss:
Online speaking rate estimation using recurrent neural networks. ICASSP 2016: 5245-5249 - [c25]Kan Kawabata, Visar Berisha, Anna Scaglione, Amy LaCross:
A Convex Model for Linguistic Influence in Group Conversations. INTERSPEECH 2016: 1442-1446 - [c24]Yishan Jiao, Ming Tu, Visar Berisha, Julie M. Liss:
Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features. INTERSPEECH 2016: 2388-2392 - [c23]Ming Tu, Visar Berisha, Yu Cao, Jae-sun Seo:
Reducing the Model Order of Deep Neural Networks Using Information Theory. ISVLSI 2016: 93-98 - [i3]Ming Tu, Visar Berisha, Yu Cao, Jae-sun Seo:
Reducing the Model Order of Deep Neural Networks Using Information Theory. CoRR abs/1605.04859 (2016) - 2015
- [j8]Visar Berisha, Douglas Cochran:
Active data labeling for improved classifier generalizability. Signal Process. 108: 272-277 (2015) - [j7]Visar Berisha, Alfred O. Hero III:
Empirical Non-Parametric Estimation of the Fisher Information. IEEE Signal Process. Lett. 22(7): 988-992 (2015) - [j6]Yishan Jiao, Visar Berisha, Ming Tu, Julie Liss:
Convex Weighting Criteria for Speaking Rate Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 23(9): 1421-1430 (2015) - [c22]Yishan Jiao, Visar Berisha, Ming Tu, Timothy Huston, Julie M. Liss:
Estimating speaking rate in spontaneous discourse. ACSSC 2015: 1189-1192 - [c21]Alan Wisler, Visar Berisha, Karthikeyan Ramamurthy, Andreas Spanias, Julie Liss:
Removing data with noisy responses in regression analysis. ICASSP 2015: 2066-2070 - 2014
- [c20]Visar Berisha, Julie Liss, Steven Sandoval, Rene Utianski, Andreas Spanias:
Modeling pathological speech perception from data with similarity labels. ICASSP 2014: 915-919 - [c19]Alan Wisler, Visar Berisha, Julie Liss, Andreas Spanias:
Domain invariant speech features using a new divergence measure. SLT 2014: 77-82 - [i2]Visar Berisha, Alfred O. Hero III:
Empirical non-parametric estimation of the Fisher Information. CoRR abs/1408.1182 (2014) - [i1]Visar Berisha, Alan Wisler, Alfred O. Hero III, Andreas Spanias:
Empirically Estimable Classification Bounds Based on a New Divergence Measure. CoRR abs/1412.6534 (2014) - 2013
- [b1]Visar Berisha, Steven Sandoval, Julie Liss:
Bandwidth Extension of Speech Using Perceptual Criteria. Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers 2013, ISBN 9781627053136, pp. 1-83 - [c18]Visar Berisha, Rene Utianski, Julie Liss:
Towards a clinical tool for automatic intelligibility assessment. ICASSP 2013: 2825-2828 - [c17]Visar Berisha, Steven Sandoval, Rene Utianski, Julie Liss, Andreas Spanias:
Selecting disorder-specific features for speech pathology fingerprinting. ICASSP 2013: 7562-7566 - 2011
- [j5]Visar Berisha, Louis L. Scharf:
Editorial. Digit. Signal Process. 21(5): 551 (2011) - [c16]Ailar Javadi, Alexander Gray, David Anderson, Visar Berisha:
Semi-supervised hierarchy learning using multiple-labeled data. MLSP 2011: 1-6 - 2010
- [c15]Harish Krishnamoorthi, Andreas Spanias, Visar Berisha, Homin Kwon, Harvey D. Thornburg:
An auditory-domain based speech enhancement algorithm. ICASSP 2010: 4786-4789
2000 – 2009
- 2009
- [j4]Harish Krishnamoorthi, Andreas Spanias, Visar Berisha:
A Frequency/Detector Pruning Approach for Loudness Estimation. IEEE Signal Process. Lett. 16(11): 997-1000 (2009) - [j3]Homin Kwon, Visar Berisha, Venkatraman Atti, Andreas Spanias:
Experiments With Sensor Motes and Java-DSP. IEEE Trans. Educ. 52(2): 257-262 (2009) - [c14]Harish Krishnamoorthi, Visar Berisha, Andreas Spanias, Homin Kwon:
Low-complexity sinusoidal component selection using loudness patterns. ICASSP 2009: 301-304 - [c13]Scott Philips, Visar Berisha, Andreas Spanias:
Energy-constrained discriminant analysis. ICASSP 2009: 3281-3284 - [c12]Homin Kwon, Harish Krishnamoorthi, Visar Berisha, Andreas Spanias:
A Sensor Network for Real-time Acoustic Scene Analysis. ISCAS 2009: 169-172 - 2008
- [j2]Venkatraman Atti, Andreas Spanias, Kostas Tsakalis, Constantinos Panayiotou, Leonidas D. Iasemidis, Visar Berisha:
Gradient projection-based channel equalization under sustained fading. Signal Process. 88(2): 236-246 (2008) - [c11]Harish Krishnamoorthi, Visar Berisha, Andreas Spanias:
A low-complexity loudness estimation algorithm. ICASSP 2008: 361-364 - [c10]Homin Kwon, Visar Berisha, Andreas Spanias:
Real-time sensing and acoustic scene characterization for security applications. ISWPC 2008: 755-758 - 2007
- [j1]Visar Berisha, Andreas Spanias:
Wideband Speech Recovery Using Psychoacoustic Criteria. EURASIP J. Audio Speech Music. Process. 2007 (2007) - [c9]Visar Berisha, Andreas Spanias:
A Scalable Bandwidth Extension Algorithm. ICASSP (4) 2007: 601-604 - [c8]Visar Berisha, Nitesh Shah, Donald E. Waagen, Harry Schmitt, Salvatore Bellofiore, Andreas Spanias, Douglas Cochran:
Sparse Manifold Learning with Applications to SAR Image Classification. ICASSP (3) 2007: 1089-1092 - [c7]Visar Berisha, Andreas Spanias:
Dual-Mode Wideband Speech Compression. MMSP 2007: 52-55 - 2006
- [c6]Visar Berisha, Homin Kwon, Andreas Spanias:
Real-Time Collaborative Monitoring in Wireless Sensor Networks. ICASSP (3) 2006: 1120-1123 - [c5]Visar Berisha, Homin Kwon, Andreas Spanias:
Real-time acoustic monitoring using wireless sensor motes. ISCAS 2006 - [c4]Visar Berisha, Andreas Spanias:
Bandwidth Extension of Audio Based on Partial Loudness Criteria. MMSP 2006: 146-149 - 2005
- [c3]Yu Song, Andreas Spanias, Venkatraman Atti, Visar Berisha:
Interactive Java modules for the MPEG-1 psychoacoustic model [audio coding teaching applications]. ICASSP (5) 2005: 581-584 - [c2]Visar Berisha, Andreas Spanias:
Enhancing vocoder performance for music signals. ISCAS (4) 2005: 4050-4053 - [c1]Visar Berisha, Andreas S. Spanias:
Enhancing the Quality of Coded Audio Using Perceptual Criteria. MMSP 2005: 1-4
Coauthor Index
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