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2020 – today
- 2024
[j131]Islam Helmy, Lachie Campbell, Reza Ahmadi, Mohammad Awrangjeb
, Kuldip K. Paliwal:
Dextractor:Deformation Extractor Framework for Monitoring-Based Ground Radar. Remote. Sens. 16(16): 2926 (2024)- [j130]Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal:
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j129]Sisi Shi, Kuldip K. Paliwal, Andrew Busch:
Log-Spectral Amplitude and Spectral Polarity Estimation in Short-Time Discrete Cosine Transform Domain. IEEE Access 11: 34456-34475 (2023) - [j128]Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - [i7]Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal:
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. CoRR abs/2311.18199 (2023) - 2022
- [j127]Md. Solayman, Thomas Litfin, Jaswinder Singh, Kuldip K. Paliwal, Yaoqi Zhou, Jian Zhan:
Probing RNA structures and functions by solvent accessibility: an overview from experimental and computational perspectives. Briefings Bioinform. 23(3) (2022) - [j126]Jaspreet Singh, Thomas Litfin, Jaswinder Singh, Kuldip K. Paliwal, Yaoqi Zhou:
SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model. Bioinform. 38(7): 1888-1894 (2022) - [j125]Jaswinder Singh, Kuldip K. Paliwal, Thomas Litfin, Jaspreet Singh, Yaoqi Zhou:
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling. Bioinform. 38(16): 3900-3910 (2022) - [j124]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
On supervised LPC estimation training targets for augmented Kalman filter-based speech enhancement. Speech Commun. 142: 49-60 (2022) - 2021
- [j123]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement. IEEE Access 9: 64524-64538 (2021) - [j122]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement. IEEE Access 9: 70516-70530 (2021) - [j121]Anil Kumar Hanumanthappa, Jaswinder Singh, Kuldip K. Paliwal, Jaspreet Singh, Yaoqi Zhou:
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network. Bioinform. 36(21): 5169-5176 (2021) - [j120]Jaswinder Singh, Kuldip K. Paliwal, Tongchuan Zhang, Jaspreet Singh, Thomas Litfin, Yaoqi Zhou:
Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning. Bioinform. 37(17): 2589-2600 (2021) - [j119]Jaspreet Singh, Thomas Litfin, Kuldip K. Paliwal, Jaswinder Singh, Anil Kumar Hanumanthappa, Yaoqi Zhou:
SPOT-1D-Single: improving the single-sequence-based prediction of protein secondary structure, backbone angles, solvent accessibility and half-sphere exposures using a large training set and ensembled deep learning. Bioinform. 37(20): 3464-3472 (2021) - [j118]Tongchuan Zhang, Jaswinder Singh, Thomas Litfin, Jian Zhan, Kuldip K. Paliwal, Yaoqi Zhou:
RNAcmap: a fully automatic pipeline for predicting contact maps of RNAs by evolutionary coupling analysis. Bioinform. 37(20): 3494-3500 (2021) - [j117]Sujan Kumar Roy, Kuldip K. Paliwal:
A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions. EURASIP J. Audio Speech Music. Process. 2021(1): 32 (2021) - [j116]Jaswinder Singh, Kuldip K. Paliwal, Jaspreet Singh, Yaoqi Zhou:
RNA Backbone Torsion and Pseudotorsion Angle Prediction Using Dilated Convolutional Neural Networks. J. Chem. Inf. Model. 61(6): 2610-2622 (2021) - [c119]Jaspreet Singh, Jaswinder Singh, Kuldip K. Paliwal, Andrew Busch, Yaoqi Zhou:
SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks. CIBCB 2021: 1-7 - 2020
- [j115]Jack Hanson, Thomas Litfin, Kuldip K. Paliwal, Yaoqi Zhou:
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning. Bioinform. 36(4): 1107-1113 (2020) - [j114]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou:
Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning. J. Comput. Biol. 27(5): 796-814 (2020) - [j113]Yufeng Cai, Xiongjun Li, Zhe Sun, Yutong Lu, Huiying Zhao, Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou, Yuedong Yang:
SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. J. Comput. Chem. 41(8): 745-750 (2020) - [j112]Aaron Nicolson, Kuldip K. Paliwal:
Masked multi-head self-attention for causal speech enhancement. Speech Commun. 125: 80-96 (2020) - [j111]Qiquan Zhang, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, Chenxu Wang:
DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1404-1415 (2020) - [c118]Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. AAAI 2020: 8552-8559 - [c117]Sujan Kumar Roy, Kuldip K. Paliwal:
Deep Residual Network-Based Augmented Kalman Filter for Speech Enhancement. APSIPA 2020: 667-673 - [c116]Sisi Shi, Andrew Busch, Kuldip K. Paliwal, Thomas Fickenscher:
On The Use of Discrete Cosine Transform Polarity Spectrum in Speech Enhancement. EUSIPCO 2020: 421-425 - [c115]Sujan Kumar Roy, Kuldip K. Paliwal:
Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement. ICSPCS 2020: 1-6 - [c114]Sujan Kumar Roy, Kuldip K. Paliwal:
Causal Convolutional Encoder Decoder-Based Augmented Kalman Filter for Speech Enhancement. ICSPCS 2020: 1-7 - [c113]Aaron Nicolson, Kuldip K. Paliwal:
Sum-Product Networks for Robust Automatic Speaker Identification. INTERSPEECH 2020: 1516-1520 - [c112]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
A Deep Learning-Based Kalman Filter for Speech Enhancement. INTERSPEECH 2020: 2692-2696 - [c111]Sujan Kumar Roy, Aaron Nicolson, Kuldip K. Paliwal:
Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement. ISCAS 2020: 1-5 - [i6]Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. CoRR abs/2002.12794 (2020) - [i5]Timothy Roberts, Kuldip K. Paliwal:
A Time-Scale Modification Dataset with Subjective Quality Labels. CoRR abs/2006.00848 (2020) - [i4]Timothy Roberts, Kuldip K. Paliwal:
An Objective Measure of Quality for Time-Scale Modification of Audio. CoRR abs/2006.06153 (2020) - [i3]Timothy Roberts, Aaron Nicolson, Kuldip K. Paliwal:
Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio. CoRR abs/2009.02940 (2020)
2010 – 2019
- 2019
- [j110]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou:
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks. Bioinform. 35(14): 2403-2410 (2019) - [j109]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou:
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning. Genom. Proteom. Bioinform. 17(6): 645-656 (2019) - [j108]Aaron Nicolson, Kuldip K. Paliwal:
Deep learning for minimum mean-square error approaches to speech enhancement. Speech Commun. 111: 44-55 (2019) - [c110]Timothy Roberts, Kuldip K. Paliwal:
Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA). WASPAA 2019: 31-34 - [i2]Aaron Nicolson, Kuldip K. Paliwal:
Deep Xi as a Front-End for Robust Automatic Speech Recognition. CoRR abs/1906.07319 (2019) - [i1]Aaron Nicolson, Kuldip K. Paliwal:
Sum-Product Networks for Robust Automatic Speaker Recognition. CoRR abs/1910.11969 (2019) - 2018
- [j107]Yuedong Yang, Jianzhao Gao, Jihua Wang, Rhys Heffernan, Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou:
Sixty-five years of the long march in protein secondary structure prediction: the final stretch? Briefings Bioinform. 19(3): 482-494 (2018) - [j106]Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou:
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks. Bioinform. 34(23): 4039-4045 (2018) - [j105]Rhys Heffernan, Kuldip K. Paliwal, James G. Lyons, Jaswinder Singh, Yuedong Yang, Yaoqi Zhou:
Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning. J. Comput. Chem. 39(26): 2210-2216 (2018) - [j104]Jaswinder Singh, Jack Hanson, Rhys Heffernan, Kuldip K. Paliwal, Yuedong Yang, Yaoqi Zhou:
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning. J. Chem. Inf. Model. 58(9): 2033-2042 (2018) - [j103]Jack Hanson, Kuldip K. Paliwal, Yaoqi Zhou:
Accurate Single-Sequence Prediction of Protein Intrinsic Disorder by an Ensemble of Deep Recurrent and Convolutional Architectures. J. Chem. Inf. Model. 58(11): 2369-2376 (2018) - [j102]Aadel Alatwi, Kuldip K. Paliwal:
A Smoothed and Thresholded Linear Prediction Analysis for Efficient Speech Coding. J. Commun. 13(5): 230-235 (2018) - [j101]Aidan E. W. George, Stephen So, Ratna Ghosh, Kuldip K. Paliwal:
Robustness metric-based tuning of the augmented Kalman filter for the enhancement of speech corrupted with coloured noise. Speech Commun. 105: 62-76 (2018) - [j100]Stephen So, Kuldip K. Paliwal:
Reconstruction of a Signal from the Real Part of Its Discrete Fourier Transform [Tips & Tricks]. IEEE Signal Process. Mag. 35(2): 162-174 (2018) - [c109]Timothy Roberts, Kuldip K. Paliwal:
Frequency Dependent Time-Scale Modification. ICSPCS 2018: 1-5 - [c108]Timothy Roberts, Kuldip K. Paliwal:
Stereo Time-Scale Modification Using Sum and Difference Transformation. ICSPCS 2018: 1-5 - [c107]Sujan Kumar Roy, Kuldip K. Paliwal:
A Non-Iterative Kalman Filter for Single Channel Speech Enhancement in Non-Stationary Noise Condition. ICSPCS 2018: 1-7 - [c106]Aaron Nicolson, Kuldip K. Paliwal:
Bidirectional Long-Short Term Memory Network-based Estimation of Reliable Spectral Component Locations. INTERSPEECH 2018: 1606-1610 - 2017
- [j99]Jack Hanson, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou:
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks. Bioinform. 33(5): 685-692 (2017) - [j98]Rhys Heffernan, Yuedong Yang, Kuldip K. Paliwal, Yaoqi Zhou:
Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility. Bioinform. 33(18): 2842-2849 (2017) - [j97]Stephen So, Aidan E. W. George, Ratna Ghosh, Kuldip K. Paliwal:
Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech. Circuits Syst. Signal Process. 36(4): 1476-1492 (2017) - 2016
- [j96]Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. 32(6): 843-849 (2016) - [j95]Roger Chappel, Belinda Schwerin, Kuldip K. Paliwal:
Phase distortion resulting in a just noticeable difference in the perceived quality of speech. Speech Commun. 81: 138-147 (2016) - [c105]Aadel Alatwi, Stephen So, Kuldip K. Paliwal:
Perceptually motivated linear prediction cepstral features for network speech recognition. ICSPCS 2016: 1-5 - 2015
- [j94]Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. 16(S-4): S1 (2015) - [j93]Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. 11(1): 115-138 (2015) - [j92]Alok Sharma, Kuldip K. Paliwal:
A deterministic approach to regularized linear discriminant analysis. Neurocomputing 151: 207-214 (2015) - [j91]Alok Sharma, Kuldip K. Paliwal:
Linear discriminant analysis for the small sample size problem: an overview. Int. J. Mach. Learn. Cybern. 6(3): 443-454 (2015) - 2014
- [j90]Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdollah Dehzangi:
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinform. 15(S-16): S12 (2014) - [j89]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. 15(S-1): S2 (2014) - [j88]Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi, Rajeshkannan Ananthanarayanan, James G. Lyons, Neela Biswas, Kuldip K. Paliwal:
Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix. J. Adv. Comput. Intell. Intell. Informatics 18(4): 474-479 (2014) - [j87]James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. 35(28): 2040-2046 (2014) - [j86]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano, Vandana Sharma, Rajeshkannan Ananthanarayanan:
A feature selection method using fixed-point algorithm for DNA microarray gene expression data. Int. J. Knowl. Based Intell. Eng. Syst. 18(1): 55-59 (2014) - [j85]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano:
A feature selection method using improved regularized linear discriminant analysis. Mach. Vis. Appl. 25(3): 775-786 (2014) - [j84]Roger Chappel, Kuldip K. Paliwal:
An educational platform to demonstrate speech processing techniques on Android based smart phones and tablets. Speech Commun. 57: 13-38 (2014) - [j83]Belinda Schwerin, Kuldip K. Paliwal:
Using STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement. Speech Commun. 58: 49-68 (2014) - [j82]Belinda Schwerin, Kuldip K. Paliwal:
An improved speech transmission index for intelligibility prediction. Speech Commun. 65: 9-19 (2014) - [j81]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 510-519 (2014) - 2013
- [j80]Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano:
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. 14: 233 (2013) - [j79]Alok Sharma, Kuldip K. Paliwal, Seiya Imoto, Satoru Miyano:
Principal component analysis using QR decomposition. Int. J. Mach. Learn. Cybern. 4(6): 679-683 (2013) - [c104]Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar:
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence 2013: 32-43 - [c103]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features. PRIB 2013: 196-207 - [c102]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy. PRIB 2013: 208-219 - 2012
- [j78]Kuldip K. Paliwal, Alok Sharma:
Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction. Int. J. Pattern Recognit. Artif. Intell. 26(1) (2012) - [j77]Alok Sharma, Kuldip K. Paliwal:
A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices. Pattern Recognit. 45(6): 2205-2213 (2012) - [j76]Alok Sharma, Kuldip K. Paliwal:
A two-stage linear discriminant analysis for face-recognition. Pattern Recognit. Lett. 33(9): 1157-1162 (2012) - [j75]Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki:
Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator. Speech Commun. 54(2): 282-305 (2012) - [j74]Angel M. Gomez, Belinda Schwerin, Kuldip K. Paliwal:
Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio. Speech Commun. 54(3): 503-515 (2012) - [c101]Roger Chappel, Kuldip K. Paliwal:
Speech Enhancement for Android (SEA): A Speech Processing Demonstration Tool for Android Based Smart Phones and Tablets. INTERSPEECH 2012: 1888-1891 - 2011
- [j73]Anthony P. Stark, Kuldip K. Paliwal:
Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition. Speech Commun. 53(1): 51-61 (2011) - [j72]Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki:
Role of modulation magnitude and phase spectrum towards speech intelligibility. Speech Commun. 53(3): 327-339 (2011) - [j71]Stephen So, Kuldip K. Paliwal:
Suppressing the influence of additive noise on the Kalman gain for low residual noise speech enhancement. Speech Commun. 53(3): 355-378 (2011) - [j70]Anthony P. Stark, Kuldip K. Paliwal:
MMSE estimation of log-filterbank energies for robust speech recognition. Speech Commun. 53(3): 403-416 (2011) - [j69]Kuldip K. Paliwal, Kamil K. Wójcicki, Benjamin J. Shannon:
The importance of phase in speech enhancement. Speech Commun. 53(4): 465-494 (2011) - [j68]Stephen So, Kuldip K. Paliwal:
Modulation-domain Kalman filtering for single-channel speech enhancement. Speech Commun. 53(6): 818-829 (2011) - [c100]Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki:
Single Channel Speech Enhancement Using MMSE Estimation of Short-Time Modulation Magnitude Spectrum. INTERSPEECH 2011: 1209-1212 - [c99]Angel M. Gomez, Belinda Schwerin, Kuldip K. Paliwal:
Objective Intelligibility Prediction of Speech by Combining Correlation and Distortion Based Techniques. INTERSPEECH 2011: 1225-1228 - 2010
- [j67]Kuldip K. Paliwal, Alok Sharma:
Improved direct LDA and its application to DNA microarray gene expression data. Pattern Recognit. Lett. 31(16): 2489-2492 (2010) - [j66]Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin:
Single-channel speech enhancement using spectral subtraction in the short-time modulation domain. Speech Commun. 52(5): 450-475 (2010) - [c98]Stephen So, Kamil K. Wójcicki, Kuldip K. Paliwal:
Single-channel speech enhancement using kalman filtering in the modulation domain. INTERSPEECH 2010: 993-996 - [c97]Stephen So, Kuldip K. Paliwal:
Fast converging iterative kalman filtering for speech enhancement using long and overlapped tapered windows with large side lobe attenuation. INTERSPEECH 2010: 1081-1084
2000 – 2009
- 2009
- [j65]Mohamed Chetouani, Marcos Faúndez-Zanuy, Amir Hussain, Bruno Gas, Jean-Luc Zarader, Kuldip K. Paliwal:
Special issue on non-linear and non-conventional speech processing. Speech Commun. 51(9): 713 (2009) - [j64]Kuldip K. Paliwal, Benjamin J. Shannon, James G. Lyons, Kamil K. Wójcicki:
Speech-Signal-Based Frequency Warping. IEEE Signal Process. Lett. 16(4): 319-322 (2009) - [c96]Stephen So, Kamil K. Wójcicki, James G. Lyons, Anthony P. Stark, Kuldip K. Paliwal:
Kalman fitler with phase spectrum compensation algorithm for speech enhancement. ICASSP 2009: 4405-4408 - [c95]Anthony P. Stark, Kuldip K. Paliwal:
Group-delay-deviation based spectral analysis of speech. INTERSPEECH 2009: 1083-1086 - [c94]Kuldip K. Paliwal, Belinda Schwerin, Kamil K. Wójcicki:
Modulation domain spectral subtraction for speech enhancement. INTERSPEECH 2009: 1327-1330 - 2008
- [j63]Alok Sharma, Kuldip K. Paliwal:
Cancer classification by gradient LDA technique using microarray gene expression data. Data Knowl. Eng. 66(2): 338-347 (2008) - [j62]Alok Sharma, Kuldip K. Paliwal:
A Gradient Linear Discriminant Analysis for Small Sample Sized Problem. Neural Process. Lett. 27(1): 17-24 (2008) - [j61]Isabel Trancoso, Néstor Becerra Yoma, Plínio Almeida Barbosa, Rubén San Segundo, Kuldip K. Paliwal:
Special Issue on Iberian Languages. Speech Commun. 50(11-12): 872-873 (2008) - [j60]Kamil K. Wójcicki, Mitar Milacic, Anthony P. Stark, James G. Lyons, Kuldip K. Paliwal:
Exploiting Conjugate Symmetry of the Short-Time Fourier Spectrum for Speech Enhancement. IEEE Signal Process. Lett. 15: 461-464 (2008) - [j59]Kuldip K. Paliwal, Kamil K. Wójcicki:
Effect of Analysis Window Duration on Speech Intelligibility. IEEE Signal Process. Lett. 15: 785-788 (2008) - [j58]Alok Sharma, Kuldip K. Paliwal:
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction. IEEE Trans. Knowl. Data Eng. 20(10): 1336-1347 (2008) - [c93]James G. Lyons, Kuldip K. Paliwal:
Effect of compressing the dynamic range of the power spectrum in modulation filtering based speech enhancement. INTERSPEECH 2008: 387-390 - [c92]Stephen So, Kuldip K. Paliwal:
A long state vector kalman filter for speech enhancement. INTERSPEECH 2008: 391-394 - [c91]Anthony P. Stark, Kamil K. Wójcicki, James G. Lyons, Kuldip K. Paliwal:
Noise driven short-time phase spectrum compensation procedure for speech enhancement. INTERSPEECH 2008: 549-552 - [c90]Anthony P. Stark, Kuldip K. Paliwal:
Speech analysis using instantaneous frequency deviation. INTERSPEECH 2008: 2602-2605 - [c89]Munkhtuya Davaatsagaan, Kuldip K. Paliwal:
A response generation in the Mongolian spoken language system for accessing to multimedia knowledge base. SLT 2008: 53-56 - 2007
- [j57]Alok Sharma, Arun K. Pujari, Kuldip K. Paliwal:
Intrusion detection using text processing techniques with a kernel based similarity measure. Comput. Secur. 26(7-8): 488-495 (2007) - [j56]Leigh D. Alsteris, Kuldip K. Paliwal:
Iterative reconstruction of speech from short-time Fourier transform phase and magnitude spectra. Comput. Speech Lang. 21(1): 174-186 (2007) - [j55]Stephen So, Kuldip K. Paliwal:
A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding. Digit. Signal Process. 17(1): 114-137 (2007) - [j54]Stephen So, Kuldip K. Paliwal:
Efficient product code vector quantisation using the switched split vector quantiser. Digit. Signal Process. 17(1): 138-171 (2007) - [j53]Leigh D. Alsteris, Kuldip K. Paliwal:
Short-time phase spectrum in speech processing: A review and some experimental results. Digit. Signal Process. 17(3): 578-616 (2007) - [j52]Alok Sharma, Kuldip K. Paliwal:
Fast principal component analysis using fixed-point algorithm. Pattern Recognit. Lett. 28(10): 1151-1155 (2007) - [j51]Philipos C. Loizou, Israel Cohen, Sharon Gannot, Kuldip K. Paliwal:
Special issue on Speech Enhancement. Speech Commun. 49(7-8): 527-529 (2007) - [j50]Alok Sharma, Kuldip K. Paliwal:
Detecting masquerades using a combination of Naïve Bayes and weighted RBF approach. J. Comput. Virol. 3(3): 237-245 (2007) - [c88]Kamil K. Wójcicki, Kuldip K. Paliwal:
Importance of the Dynamic Range of an Analysis Windowfunction for Phase-Only and Magnitude-Only Reconstruction of Speech. ICASSP (4) 2007: 729-732 - [c87]Benjamin J. Shannon, Kuldip K. Paliwal:
Effect of Speech and Noise Cross Correlation on AMFCC Speech Recognition Features. ICASSP (4) 2007: 1033-1036 - [c86]Kamil K. Wójcicki, Stephen So, Kuldip K. Paliwal:
The effect of the additivity assumption on time and frequency domain wiener filtering for speech enhancement. INTERSPEECH 2007: 798-801 - 2006
- [j49]Alok Sharma, Kuldip K. Paliwal, Godfrey C. Onwubolu:
Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification. Pattern Recognit. 39(7): 1215-1229 (2006) - [j48]Alok Sharma, Kuldip K. Paliwal:
Subspace independent component analysis using vector kurtosis. Pattern Recognit. 39(11): 2227-2232 (2006) - [j47]Leigh D. Alsteris, Kuldip K. Paliwal:
Further intelligibility results from human listening tests using the short-time phase spectrum. Speech Commun. 48(6): 727-736 (2006) - [j46]Stephen So, Kuldip K. Paliwal:
Scalable distributed speech recognition using Gaussian mixture model-based block quantisation. Speech Commun. 48(6): 746-758 (2006) - [j45]Benjamin J. Shannon, Kuldip K. Paliwal:
Feature extraction from higher-lag autocorrelation coefficients for robust speech recognition. Speech Commun. 48(11): 1458-1485 (2006) - [j44]Stephen So, Kuldip K. Paliwal:
Empirical Lower Bound on the Bitrate for the Transparent Memoryless Coding of Wideband LPC Parameters. IEEE Signal Process. Lett. 13(9): 569-572 (2006) - [j43]Bojana Gajic, Kuldip K. Paliwal:
Robust speech recognition in noisy environments based on subband spectral centroid histograms. IEEE Trans. Speech Audio Process. 14(2): 600-608 (2006) - [c85]Stephen So, Kuldip K. Paliwal:
Multi-Frame GMM-Based Block Quantisation for Distributed Speech Recognition Under Noisy Conditions. ICASSP (1) 2006: 189-192 - [c84]Benjamin J. Shannon, Kuldip K. Paliwal:
Role of phase estimation in speech enhancement. INTERSPEECH 2006 - [c83]Benjamin J. Shannon, Kuldip K. Paliwal, Climent Nadeu:
Speech enhancement based on spectral estimation from higher-lag autocorrelation. INTERSPEECH 2006 - 2005
- [j42]Kuldip K. Paliwal, Stephen So:
A fractional bit encoding technique for the GMM-based block quantisation of images. Digit. Signal Process. 15(3): 255-275 (2005) - [j41]Kuldip K. Paliwal, Leigh D. Alsteris:
On the usefulness of STFT phase spectrum in human listening tests. Speech Commun. 45(2): 153-170 (2005) - [j40]Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee:
Generative factor analyzed HMM for automatic speech recognition. Speech Commun. 45(4): 435-454 (2005) - [j39]Donglai Zhu, Satoshi Nakamura, Kuldip K. Paliwal, Ren-Hua Wang:
Maximum likelihood sub-band adaptation for robust speech recognition. Speech Commun. 47(3): 243-264 (2005) - [j38]Stephen So, Kuldip K. Paliwal:
Multi-frame GMM-based block quantisation of line spectral frequencies. Speech Commun. 47(3): 265-276 (2005) - [j37]Kuldip K. Paliwal, Stephen So:
Low-complexity GMM-based block quantisation of images using the discrete cosine transform. Signal Process. Image Commun. 20(5): 435-446 (2005) - [c82]Stephen So, Kuldip K. Paliwal:
Multi-Frame GMM-Based Block Quantisation of Line Spectral Frequencies for Wideband Speech Coding. ICASSP (1) 2005: 121-124 - [c81]Benjamin J. Shannon, Kuldip K. Paliwal:
Influence of Autocorrelation Lag Ranges on Robust Speech Recognition. ICASSP (1) 2005: 545-548 - [c80]Leigh D. Alsteris, Kuldip K. Paliwal:
Some experiments on iterative reconstruction of speech from STFT phase and magnitude spectra. INTERSPEECH 2005: 337-340 - [c79]Stephen So, Kuldip K. Paliwal:
Improved noise-robustness in distributed speech recognition via perceptually-weighted vector quantisation of filterbank energies. INTERSPEECH 2005: 941-944 - [c78]Stephen So, Kuldip K. Paliwal:
Switched split vector quantisation of line spectral frequencies for wideband speech coding. INTERSPEECH 2005: 2705-2708 - [c77]Stephen So, Kuldip K. Paliwal:
A comparison of LSF and ISP representations for wideband LPC parameter coding using the switched split vector quantiser. ISSPA 2005: 595-598 - [c76]Benjamin J. Shannon, Kuldip K. Paliwal:
Spectral estimation using higher-lag autocorrelation coefficients with applications to speech recognition. ISSPA 2005: 599-602 - [c75]Leigh D. Alsteris, Kuldip K. Paliwal:
Evaluation of the modified group delay feature for isolatedword recognition. ISSPA 2005: 715-718 - 2004
- [j36]Conrad Sanderson, Kuldip K. Paliwal:
Identity verification using speech and face information. Digit. Signal Process. 14(5): 449-480 (2004) - [j35]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Noise adaptive speech recognition based on sequential noise parameter estimation. Speech Commun. 42(1): 5-23 (2004) - [j34]Jingdong Chen, Yiteng Huang, Qi Li, Kuldip K. Paliwal:
Recognition of noisy speech using dynamic spectral subband centroids. IEEE Signal Process. Lett. 11(2): 258-261 (2004) - [c74]Donglai Zhu, Kuldip K. Paliwal:
Product of power spectrum and group delay function for speech recognition. ICASSP (1) 2004: 125-128 - [c73]Kuldip K. Paliwal, Stephen So:
Multiple frame block quantisation of line spectral frequencies using Gaussian mixture models. ICASSP (1) 2004: 149-152 - [c72]Leigh D. Alsteris, Kuldip K. Paliwal:
Importance of window shape for phase-only reconstruction of speech. ICASSP (1) 2004: 573-576 - [c71]Benjamin J. Shannon, Kuldip K. Paliwal:
MFCC computation from magnitude spectrum of higher lag autocorrelation coefficients for robust speech recognition. INTERSPEECH 2004: 129-132 - [c70]Leigh David Alsteris, Kuldip K. Paliwal:
ASR on speech reconstructed from short-time fourier phase spectra. INTERSPEECH 2004: 565-568 - [c69]Kuldip K. Paliwal, Stephen So:
Scalable distributed speech recognition using multi-frame GMM-based block quantization. INTERSPEECH 2004: 617-620 - [c68]Stephen So, Kuldip K. Paliwal:
Efficient vector quantisation of line spectral frequencies using the switched split vector quantiser. INTERSPEECH 2004: 2641-2644 - 2003
- [j33]Farshid Golchin, Kuldip K. Paliwal:
Quadtree-based classification in subband image coding. Digit. Signal Process. 13(4): 656-668 (2003) - [j32]Conrad Sanderson, Kuldip K. Paliwal:
Noise compensation in a person verification system using face and multiple speech feature. Pattern Recognit. 36(2): 293-302 (2003) - [j31]Xuechuan Wang, Kuldip K. Paliwal:
Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition. Pattern Recognit. 36(10): 2429-2439 (2003) - [j30]Conrad Sanderson, Kuldip K. Paliwal:
Fast features for face authentication under illumination direction changes. Pattern Recognit. Lett. 24(14): 2409-2419 (2003) - [j29]Conrad Sanderson, Kuldip K. Paliwal:
Structurally noise resistant classifier for multi-modal person verification. Pattern Recognit. Lett. 24(16): 3089-3099 (2003) - [j28]Conrad Sanderson, Kuldip K. Paliwal:
Features for robust face-based identity verification. Signal Process. 83(5): 931-940 (2003) - [j27]Jingdong Chen, Kuldip K. Paliwal, Satoshi Nakamura:
Cepstrum derived from differentiated power spectrum for robust speech recognition. Speech Commun. 41(2-3): 469-484 (2003) - [c67]Bojana Gajic, Kuldip K. Paliwal:
Robust speech recognition using features based on zero crossings with peak amplitudes. ICASSP (1) 2003: 64-67 - [c66]Conrad Sanderson, Kuldip K. Paliwal:
Noise resistant audio-visual verification via structural constraints. ICASSP (5) 2003: 716-719 - [c65]Kuldip K. Paliwal, Bishnu S. Atal:
Frequency-related representation of speech. INTERSPEECH 2003: 65-68 - [c64]Donglai Zhu, Satoshi Nakamura, Kuldip K. Paliwal, Ren-Hua Wang:
Maximum likelihood sub-band weighting for robust speech recognition. INTERSPEECH 2003: 673-676 - [c63]Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee:
Speech recognition with a generative factor analyzed hidden Markov model. INTERSPEECH 2003: 849-852 - [c62]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Model based noisy speech recognition with environment parameters estimated by noise adaptive speech recognition with prior. INTERSPEECH 2003: 1273-1276 - [c61]Kuldip K. Paliwal, Leigh D. Alsteris:
Usefulness of phase spectrum in human speech perception. INTERSPEECH 2003: 2117-2120 - [c60]Kuldip K. Paliwal, Bishnu S. Atal:
Representing frequencies in speech. NOLISP 2003: 10 - [c59]Kuldip K. Paliwal, Leigh D. Alsteris:
Usefulness of phase in human speech perception. NOLISP 2003: 11 - 2002
- [j26]Xuechuan Wang, Kuldip K. Paliwal:
A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction. J. VLSI Signal Process. 32(1-2): 19-28 (2002) - [c58]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Noise adaptive speech recognition in time-varying noise based on sequential kullback proximal algorithm. ICASSP 2002: 189-192 - [c57]Kuldip K. Paliwal, Conrad Sanderson:
Likelihood normalization for face authentication in variable recording conditions. ICIP (1) 2002: 301-304 - [c56]Conrad Sanderson, Kuldip K. Paliwal:
Polynomial features for robust face authentication. ICIP (3) 2002: 997-1000 - [c55]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Noise adaptive speech recognition with acoustic models trained from noisy speech evaluated on Aurora-2 database. INTERSPEECH 2002: 2437-2440 - 2001
- [c54]Conrad Sanderson, Kuldip K. Paliwal:
Joint Cohort Normalization in a Multi-Feature Speaker Verification System. FUZZ-IEEE 2001: 232-235 - [c53]Bojana Gajic, Kuldip K. Paliwal:
Robust feature extraction using subband spectral centroid histograms. ICASSP 2001: 85-88 - [c52]Conrad Sanderson, Kuldip K. Paliwal:
Noise compensation in a multi-modal verification system. ICASSP 2001: 157-160 - [c51]Kaisheng Yao, Jingdong Chen, Kuldip K. Paliwal, Satoshi Nakamura:
Feature extraction and model-based noise compensation for noisy speech recognition evaluated on AURORA 2 task. INTERSPEECH 2001: 233-236 - [c50]Jingdong Chen, Kuldip K. Paliwal, Satoshi Nakamura:
Sub-band based additive noise removal for robust speech recognition. INTERSPEECH 2001: 571-574 - [c49]Bojana Gajic, Kuldip K. Paliwal:
Robust parameters for speech recognition based on subband spectral centroid histograms. INTERSPEECH 2001: 591-594 - [c48]Conrad Sanderson, Kuldip K. Paliwal:
Information fusion for robust speaker verification. INTERSPEECH 2001: 755-758 - [c47]Kaisheng Yao, Kuldip K. Paliwal, Satoshi Nakamura:
Sequential noise compensation by a sequential kullback proximal algorithm. INTERSPEECH 2001: 1139-1142 - [c46]Tor André Myrvoll, Kuldip K. Paliwal, Torbjørn Svendsen:
Fast adaptation using constrained affine transformations with hierarchical priors. INTERSPEECH 2001: 1233-1236 - 2000
- [j25]V. Ramasubramanian, Kuldip K. Paliwal:
Fast nearest-neighbor search algorithms based on approximation-elimination search. Pattern Recognit. 33(9): 1497-1510 (2000) - [j24]Kuldip K. Paliwal, V. Ramasubramanian:
Comments on "modified K-means algorithm for vector quantizer design". IEEE Trans. Image Process. 9(11): 1964-1967 (2000) - [c45]Farshid Golchin, Kuldip K. Paliwal:
Lossless coding of MPEG-1 Layer III encoded audio streams. ICASSP 2000: 885-888 - [c44]Jingdong Chen, Kuldip K. Paliwal, Satoshi Nakamura:
A block cosine transform and its application in speech recognition. INTERSPEECH 2000: 117-120
1990 – 1999
- 1999
- [j23]V. Ramasubramanian, Kuldip K. Paliwal:
Fast nearest-neighbor search based on Voronoi projections and its application to vector quantization encoding. IEEE Trans. Speech Audio Process. 7(2): 221-226 (1999) - [c43]Kuldip K. Paliwal:
Decorrelated and liftered filter-bank energies for robust speech recognition. EUROSPEECH 1999: 85-88 - [c42]Eigil Gjelsvik, Kuldip K. Paliwal:
Use of spectral subband moments in MFCC computation. ISSPA 1999: 637-640 - [c41]Kuldip K. Paliwal:
On the use of filter-bank energies as features for robust speech recognition. ISSPA 1999: 641-644 - [c40]Conrad Sanderson, Kuldip K. Paliwal:
Multi-modal person verification system based on face profiles and speech. ISSPA 1999: 947-950 - 1998
- [j22]Toshiaki Fukada, Kuldip K. Paliwal, Yoshinori Sagisaka:
Model parameter estimation for mixture density polynomial segment models. Comput. Speech Lang. 12(3): 229-246 (1998) - [c39]Kuldip K. Paliwal:
Spectral subband centroid features for speech recognition. ICASSP 1998: 617-620 - [c38]Farshid Golchin, Kuldip K. Paliwal:
A lossless image coder with context classification, adaptive prediction and adaptive entropy coding. ICASSP 1998: 2545-2548 - 1997
- [j21]V. Ramasubramanian, Kuldip K. Paliwal:
Fast Vector Quantization Encoding Based onK-d Tree Backtracking Search Algorithm. Digit. Signal Process. 7(3): 163-187 (1997) - [j20]V. Ramasubramanian, Kuldip K. Paliwal:
Voronoi Projection-Based Fast Nearest-Neighbor Search Algorithms: Box-Search and Mapping Table-Based Search Techniques. Digit. Signal Process. 7(4): 260-277 (1997) - [j19]Mike Schuster, Kuldip K. Paliwal:
Bidirectional recurrent neural networks. IEEE Trans. Signal Process. 45(11): 2673-2681 (1997) - [c37]Toshiaki Fukada, Yoshinori Sagisaka, Kuldip K. Paliwal:
Model parameter estimation for mixture density polynomial segment models. ICASSP 1997: 1403-1406 - [c36]Farshid Golchin, Kuldip K. Paliwal:
Quadtree based classification with arithmetic and trellis coded quantization for subband image coding. ICASSP 1997: 2921-2924 - [c35]Farshid Golchin, Kuldip K. Paliwal:
Classified adaptive prediction and entropy coding for lossless coding of images. ICIP (3) 1997: 110-113 - [c34]Farshid Golchin, Kuldip K. Paliwal:
Minimum-Entropy Clustering and its Application to Lossless Image Coding. ICIP (2) 1997: 262-265 - [c33]Kuldip K. Paliwal, Yoshinori Sagisaka:
Cyclic autocorrelation-based linear prediction analysis of speech. EUROSPEECH 1997: 279-282 - [c32]V. Ramasubramanian, Kuldip K. Paliwal:
Reducing the complexity of the LPC vector quantizer using the k-d tree search algorithm. EUROSPEECH 1997: 1255-1258 - 1996
- [c31]Michiel Bacchiani, Mari Ostendorf, Yoshinori Sagisaka, Kuldip K. Paliwal:
Design of a speech recognition system based on acoustically derived segmental units. ICASSP 1996: 443-446 - [c30]Toshiaki Fukada, Michiel Bacchiani, Kuldip K. Paliwal, Yoshinori Sagisaka:
Speech recognition based on acoustically derived segment units. ICSLP 1996: 1077-1080 - [c29]B. T. Lilly, Kuldip K. Paliwal:
Effect of speech coders on speech recognition performance. ICSLP 1996: 2344-2347 - [c28]Farshid Golchin, Kuldip K. Paliwal:
A Hybrid Coder for Code-Excited Linear Predictive Coding of Images. ISSPA 1996: 49-52 - [c27]Kuldip K. Paliwal, Farshid Golchin:
Subband Coding of Images Using Predictive Vector Quantization. ISSPA 1996: 134-135 - [c26]B. T. Lilly, Kuldip K. Paliwal:
Effect of Speech Coders on Speech Recognition Performance. ISSPA 1996: 333-336 - 1995
- [c25]Harald Singer, Kuldip K. Paliwal, Tomohiko Beppu, Yoshinori Sagisaka:
Effect of rasta-type processing for speech recognition with speaking-rate mismatches. EUROSPEECH 1995: 487-490 - [c24]Kuldip K. Paliwal, Michiel Bacchiani, Yoshinori Sagisaka:
Minimum classification error training algorithm for feature extractor and pattern classifier in speech recognition. EUROSPEECH 1995: 541-544 - [c23]Kuldip K. Paliwal:
Interpolation properties of linear prediction parametric representations. EUROSPEECH 1995: 1029-1032 - [c22]Kuldip K. Paliwal:
A maximum likelihood equalization technique for robust speech recognition in adverse environments. EUROSPEECH 1995: 1521-1524 - 1994
- [c21]Kuldip K. Paliwal, Bishnu S. Atal:
A comparative study of feature representations for robust speech recognition in adverse environments. ICSLP 1994: 1015-1018 - 1993
- [j18]Kuldip K. Paliwal, Bishnu S. Atal:
Efficient vector quantization of LPC parameters at 24 bits/frame. IEEE Trans. Speech Audio Process. 1(1): 3-14 (1993) - [c20]Kuldip K. Paliwal:
Use of temporal correlation between successive frames in a hidden Markov model based speech recognizer. ICASSP (2) 1993: 215-218 - 1992
- [j17]Kuldip K. Paliwal:
On the use of line spectral frequency parameters for speech recognition. Digit. Signal Process. 2(2): 80-87 (1992) - [j16]Kuldip K. Paliwal:
Dimensionality reduction of the enhanced feature set for the HMM-based speech recognizer. Digit. Signal Process. 2(3): 157-173 (1992) - [j15]V. Ramasubramanian, Kuldip K. Paliwal:
An efficient approximation-elimination algorithm for fast nearest-neighbour search based on a spherical distance coordinate formulation. Pattern Recognit. Lett. 13(7): 471-480 (1992) - [j14]V. Ramasubramanian, Kuldip K. Paliwal:
Fast K-dimensional tree algorithms for nearest neighbor search with application to vector quantization encoding. IEEE Trans. Signal Process. 40(3): 518-531 (1992) - [j13]Biing-Hwang Juang, Kuldip K. Paliwal:
Hidden Markov models with first-order equalization for noisy speech recognition. IEEE Trans. Signal Process. 40(9): 2136-2143 (1992) - [c19]V. Ramasubramanian, Kuldip K. Paliwal:
An efficient approximation-elimination algorithm for fast-nearest-neighbour search (speech coding). ICASSP 1992: 89-92 - [c18]Biing-Hwang Juang, Kuldip K. Paliwal:
Vector equalization in hidden Markov models for noisy speech recognition. ICASSP 1992: 301-304 - 1991
- [j12]Bernt Ribbum, Andrew Perkis, Kuldip K. Paliwal, Tor A. Ramstad:
Performance study of stochastic speech coders. Speech Commun. 10(3): 277-301 (1991) - [c17]W. Granzow, Bishnu S. Atal, Kuldip K. Paliwal, Juergen Schroeter:
Speech coding at 4 kb/s and lower using single-pulse and stochastic models of LPC excitation. ICASSP 1991: 217-220 - [c16]Kuldip K. Paliwal, Man Mohan Sondhi:
Recognition of noisy speech using cumulant-based linear prediction analysis. ICASSP 1991: 429-432 - [c15]D. H. Lee, David L. Neuhoff, Kuldip K. Paliwal:
Cell-conditioned multistage vector quantization. ICASSP 1991: 653-656 - [c14]Kuldip K. Paliwal, Bishnu S. Atal:
Efficient vector quantization of LPC parameters at 24 bits/frame. ICASSP 1991: 661-664 - 1990
- [c13]Kuldip K. Paliwal:
Neural net classifiers for robust speech recognition under noisy environments. ICASSP 1990: 429-432 - [c12]Kuldip K. Paliwal:
Lexicon-building methods for an acoustic sub-word based speech recognizer. ICASSP 1990: 729-732 - [c11]Kuldip K. Paliwal:
A study of LSF representation for speaker-dependent and speaker-independent HMM-based speech recognition systems. ICASSP 1990: 801-804
1980 – 1989
- 1989
- [j11]Kuldip K. Paliwal:
A study of line spectrum pair frequencies for vowel recognition. Speech Commun. 8(1): 27-33 (1989) - [j10]Kuldip K. Paliwal, V. Ramasubramanian:
Effect of ordering the codebook on the efficiency of the partial distance search algorithm for vector quantization. IEEE Trans. Commun. 37(5): 538-540 (1989) - [c10]Torbjørn Svendsen, Kuldip K. Paliwal, Erik Harborg, P. O. Husoy:
An improved sub-word based speech recognizer. ICASSP 1989: 108-111 - 1988
- [j9]Kuldip K. Paliwal:
Estimation of noise variance from the noisy AR signal and its application in speech enhancement. IEEE Trans. Acoust. Speech Signal Process. 36(2): 292-294 (1988) - [c9]Kuldip K. Paliwal:
A study of line spectrum pair frequencies for speech recognition. ICASSP 1988: 485-488 - [c8]Anjan Basu, Kuldip K. Paliwal:
A comparative performance evaluation of adaptive ARMA spectral estimation methods for noisy speech. ICASSP 1988: 691-694 - [c7]Kuldip K. Paliwal:
Low bit-rate image coding using 2-D linear prediction and 2-D stochastic excitation. ICASSP 1988: 800-803 - 1987
- [c6]Kuldip K. Paliwal, Anjan Basu:
A speech enhancement method based on Kalman filtering. ICASSP 1987: 177-180 - [c5]Kuldip K. Paliwal:
Estimation of noise variance from the noisy AR signal and its application in speech enhancement. ICASSP 1987: 297-300 - 1986
- [c4]Kuldip K. Paliwal:
Speech enhancement using multi-pulse excited linear prediction system. ICASSP 1986: 101-104 - [c3]Kuldip K. Paliwal:
A noise-compensated long correlation matching method for AR spectral estimation of noisy signals. ICASSP 1986: 1369-1372 - 1985
- [j8]Kuldip K. Paliwal:
Further simulation results on tapered and energy-weighted Burg methods. IEEE Trans. Acoust. Speech Signal Process. 33(6): 1624-1626 (1985) - [c2]Kuldip K. Paliwal, Torbjørn Svendsen:
A study of three coders (sub-band, RELP and MPE) for speech with additive white noise. ICASSP 1985: 1688-1691 - 1984
- [j7]Kuldip K. Paliwal:
Effect of preemphasis on vowel recognition performance. Speech Commun. 3(1): 101-106 (1984) - [j6]Kuldip K. Paliwal:
Performance of the weighted burg methods of ar spectral estimation for pitch-synchronous analysis of voiced speech. Speech Commun. 3(3): 221-231 (1984) - [j5]Kuldip K. Paliwal, A. I. Aarskog:
A comparative performance evaluation of pitch estimation methods for TDHS/sub-band coding of speech. Speech Commun. 3(3): 253-259 (1984) - 1983
- [j4]Kuldip K. Paliwal, P. V. S. Rao:
Application of k-Nearest-Neighbor Decision Rule in Vowel Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 5(2): 229-231 (1983) - [j3]Kuldip K. Paliwal, P. V. S. Rao:
A synthesis-based method for pitch extraction. Speech Commun. 2(1): 37-45 (1983) - [j2]Kuldip K. Paliwal, William A. Ainsworth, D. Lindsay:
A study of two-formant models for vowel identification. Speech Commun. 2(4): 295-303 (1983) - 1982
- [j1]Kuldip K. Paliwal:
On the performance of the quefrency-weighted cepstral coefficients in vowel recognition. Speech Commun. 1(2): 151-154 (1982) - [c1]Kuldip K. Paliwal, Anant Agarwal, Sarvajit S. Sinha:
A modification over Sakoe and Chiba's dynamic time warping algorithm for isolated word recognition. ICASSP 1982: 1259-1261
Coauthor Index
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