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Visar Berisha
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2020 – today
- 2024
- [j28]Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga:
Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. 6 (2024) - [j27]Visar Berisha
, Julie M. Liss:
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology. npj Digit. Medicine 7(1) (2024) - [j26]Weizhi Li, Prad Kadambi, Pouria Saidi, Karthikeyan Natesan Ramamurthy, Gautam Dasarathy, Visar Berisha:
Active Sequential Two-Sample Testing. Trans. Mach. Learn. Res. 2024 (2024) - [c71]Sean Kinahan
Achieving Reproducibility in EEG-Based Machine Learning. FAccT 2024: 1464-1474 - [i25]Pouria Saidi, Gautam Dasarathy, Visar Berisha:
Unraveling overoptimism and publication bias in ML-driven science. CoRR abs/2405.14422 (2024) - 2023
- [j25]Vikram C. Mathad
Consonant-Vowel Transition Models Based on Deep Learning for Objective Evaluation of Articulation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 86-95 (2023) - [j24]Jianwei Zhang
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1348-1359 (2023) - [c70]Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar:
Smoothly Giving up: Robustness for Simple Models. AISTATS 2023: 5376-5410 - [c69]Leo Hsu, Visar Berisha:
Does Human Speech Follow Benford's Law? ICASSP 2023: 1-5 - [c68]Thomas B. Kaufmann, Mehdi Foroogozar, Julie Liss, Visar Berisha:
Requirements For Mass Adoption Of Assistive Listening Technology By The General Public. ICASSP Workshops 2023: 1-5 - [c67]Lingfeng Xu, Kimberly D. Mueller, Julie Liss, Visar Berisha:
Decorrelating Language Model Embeddings for Speech-Based Prediction of Cognitive Impairment. ICASSP 2023: 1-5 - [c66]Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Aligning Speech Enhancement for Improving Downstream Classification Performance. INTERSPEECH 2023: 3874-3878 - [c65]Jianwei Zhang, Suren Jayasuriya, Visar Berisha:
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer. NeurIPS 2023 - [i24]Weizhi Li, Karthikeyan Natesan Ramamurthy, Prad Kadambi, Pouria Saidi, Gautam Dasarathy, Visar Berisha:
Active Sequential Two-Sample Testing. CoRR abs/2301.12616 (2023) - [i23]Tyler Sypherd, Nathan Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar:
Smoothly Giving up: Robustness for Simple Models. CoRR abs/2302.09114 (2023) - [i22]Thomas B. Kaufmann, Mehdi Foroogozar, Julie Liss, Visar Berisha:
Requirements for Mass Adoption of Assistive Listening Technology by the General Public. CoRR abs/2303.02523 (2023) - [i21]Jianwei Zhang, Suren Jayasuriya, Visar Berisha:
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer. CoRR abs/2310.17049 (2023) - 2022
- [j23]Lingfeng Xu
Unsupervised EEG channel selection based on nonnegative matrix factorization. Biomed. Signal Process. Control. 76: 103700 (2022) - [c64]Kelvin Tran, Lingfeng Xu
Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech. INTERSPEECH 2022: 2263-2267 - [c63]Visar Berisha, Chelsea Krantsevich, Gabriela Stegmann, Shira Hahn, Julie Liss:
Are reported accuracies in the clinical speech machine learning literature overoptimistic? INTERSPEECH 2022: 2453-2457 - [c62]Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha:
A label efficient two-sample test. UAI 2022: 1168-1177 - [i20]Leo Hsu, Visar Berisha:
Does human speech follow Benford's Law? CoRR abs/2203.13352 (2022) - [i19]Sean Kinahan, Julie Liss, Visar Berisha:
TorchDIVA: An Extensible Computational Model of Speech Production built on an Open-Source Machine Learning Library. CoRR abs/2210.09334 (2022) - [i18]Jianwei Zhang, Julie Liss, Suren Jayasuriya, Visar Berisha:
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection. CoRR abs/2211.09858 (2022) - 2021
- [j22]Visar Berisha
Digital medicine and the curse of dimensionality. npj Digit. Medicine 4 (2021) - [j21]Steven R. Corman, Elena Steiner
Revisiting the accuracy problem in network analysis using a unique dataset. Soc. Networks 66: 1-9 (2021) - [j20]Vikram C. Mathad
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate. IEEE Trans. Biomed. Eng. 68(10): 2986-2996 (2021) - [c61]Vikram C. Mathad, Nancy Scherer, Kathy Chapman, Julie Liss, Visar Berisha:
An Attention Model for Hypernasality Prediction in Children with Cleft Palate. ICASSP 2021: 7248-7252 - [c60]Jianwei Zhang, Suren Jayasuriya, Visar Berisha:
Restoring Degraded Speech via a Modified Diffusion Model. Interspeech 2021: 221-225 - [c59]Vikram C. Mathad, Tristan J. Mahr, Nancy Scherer, Kathy Chapman, Katherine C. Hustad, Julie Liss, Visar Berisha:
The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation. Interspeech 2021: 1922-1926 - [c58]Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Computationally-efficient voice activity detection based on deep neural networks. SiPS 2021: 64-69 - [i17]Jianwei Zhang
Restoring degraded speech via a modified diffusion model. CoRR abs/2104.11347 (2021) - [i16]Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha:
A label efficient two-sample test. CoRR abs/2111.08861 (2021) - 2020
- [j19]Deepak Kadetotad, Shihui Yin
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) - [j18]Rohit Voleti
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) - [j17]Gabriela Stegmann
Author Correction: Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis. npj Digit. Medicine 3 (2020) - [j16]Gabriela Stegmann
Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis. npj Digit. Medicine 3 (2020) - [j15]Michael Saxon
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
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
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
Articulation constrained learning with application to speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2019: 14 (2019) - [c52]Deepak Kadetotad, Visar Berisha
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
Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks. ICASSP 2019: 1393-1397 - [c50]Jacob Peplinski, Visar Berisha
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
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
Do Conversational Partners Entrain on Articulatory Precision? INTERSPEECH 2019: 1931-1935 - [c45]Meredith Moore
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. INTERSPEECH 2019: 2528-2532 - [c44]Yan Xiong, Visar Berisha
Residual + Capsule Networks (ResCap) for Simultaneous Single-Channel Overlapped Keyword Recognition. INTERSPEECH 2019: 3337-3341 - [i13]Rohit Voleti
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
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
Online Machine Learning Experiments in HTML5. FIE 2018: 1-5 - [c42]Prad Kadambi, Abinash Mohanty
Towards a Wearable Cough Detector Based on Neural Networks. ICASSP 2018: 2161-2165 - [c41]Alan Wisler
Direct Ensemble Estimation of Density Functionals. ICASSP 2018: 2866-2870 - [c40]Yishan Jiao, Ming Tu, Visar Berisha
Simulating Dysarthric Speech for Training Data Augmentation in Clinical Speech Applications. ICASSP 2018: 6009-6013 - [c39]Megan M. Willi, Stephanie A. Borrie
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
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
Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing 267: 141-151 (2017) - [j10]Yishan Jiao, Visar Berisha
Articulation Entropy: An Unsupervised Measure of Articulatory Precision. IEEE Signal Process. Lett. 24(4): 485-489 (2017) - [c36]Prad Kadambi, Alan Wisler
Improved finite-sample estimate of a nonparametric f-divergence. ACSSC 2017: 875-879 - [c35]Shihui Yin, Gaurav Srivastava
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
Interpretable phonological features for clinical applications. ICASSP 2017: 5045-5049 - [c33]Ming Tu, Visar Berisha
Objective assessment of pathological speech using distribution regression. ICASSP 2017: 5050-5054 - [c32]Visar Berisha
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
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
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
Models for objective evaluation of dysarthric speech from data annotated by multiple listeners. ACSSC 2016: 827-830 - [c29]Alan Wisler
Noise robust dysarthric speech classification using domain adaptation. DMIAF 2016: 135-138 - [c28]Alan Wisler
Empirically-estimable multi-class classification bounds. ICASSP 2016: 2594-2598 - [c27]Ming Tu, Visar Berisha
Ranking the parameters of deep neural networks using the fisher information. ICASSP 2016: 2647-2651 - [c26]Yishan Jiao, Ming Tu, Visar Berisha
Online speaking rate estimation using recurrent neural networks. ICASSP 2016: 5245-5249 - [c25]Kan Kawabata, Visar Berisha
A Convex Model for Linguistic Influence in Group Conversations. INTERSPEECH 2016: 1442-1446 - [c24]Yishan Jiao, Ming Tu, Visar Berisha
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
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
Active data labeling for improved classifier generalizability. Signal Process. 108: 272-277 (2015) - [j7]Visar Berisha
Empirical Non-Parametric Estimation of the Fisher Information. IEEE Signal Process. Lett. 22(7): 988-992 (2015) - [j6]Yishan Jiao, Visar Berisha
Convex Weighting Criteria for Speaking Rate Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 23(9): 1421-1430 (2015) - [c22]Yishan Jiao, Visar Berisha
Estimating speaking rate in spontaneous discourse. ACSSC 2015: 1189-1192 - [c21]Alan Wisler
Removing data with noisy responses in regression analysis. ICASSP 2015: 2066-2070 - 2014
- [c20]Visar Berisha
Modeling pathological speech perception from data with similarity labels. ICASSP 2014: 915-919 - [c19]Alan Wisler
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
Towards a clinical tool for automatic intelligibility assessment. ICASSP 2013: 2825-2828 - [c17]Visar Berisha
Selecting disorder-specific features for speech pathology fingerprinting. ICASSP 2013: 7562-7566 - 2011
- [j5]Visar Berisha
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
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
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
Energy-constrained discriminant analysis. ICASSP 2009: 3281-3284 - [c12]Homin Kwon, Harish Krishnamoorthi, Visar Berisha
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
Gradient projection-based channel equalization under sustained fading. Signal Process. 88(2): 236-246 (2008) - [c11]Harish Krishnamoorthi, Visar Berisha
A low-complexity loudness estimation algorithm. ICASSP 2008: 361-364 - [c10]Homin Kwon, Visar Berisha
Real-time sensing and acoustic scene characterization for security applications. ISWPC 2008: 755-758 - 2007
- [j1]Visar Berisha
Wideband Speech Recovery Using Psychoacoustic Criteria. EURASIP J. Audio Speech Music. Process. 2007 (2007) - [c9]Visar Berisha
A Scalable Bandwidth Extension Algorithm. ICASSP (4) 2007: 601-604 - [c8]Visar Berisha
Sparse Manifold Learning with Applications to SAR Image Classification. ICASSP (3) 2007: 1089-1092 - [c7]Visar Berisha
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
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
Enhancing vocoder performance for music signals. ISCAS (4) 2005: 4050-4053 - [c1]Visar Berisha
Enhancing the Quality of Coded Audio Using Perceptual Criteria. MMSP 2005: 1-4
Coauthor Index
Julie M. Liss
aka: Julie Liss
aka: Julie Liss
Karthikeyan Natesan Ramamurthy
aka: Karthikeyan Ramamurthy
aka: Karthikeyan Ramamurthy
Andreas Spanias
aka: Andreas S. Spanias
aka: Andreas S. Spanias
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