Kuldip K. Paliwal

发表

Performance of the weighted burg methods of ar spectral estimation for pitch-synchronous analysis of voiced speech

Kuldip K. Paliwal, K. Paliwal, 1984, Speech Commun..

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, J. Comput. Chem..

Proposing a highly accurate protein structural class predictor using segmentation-based features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, BMC Genomics.

Vector equalization in hidden Markov models for noisy speech recognition

Biing-Hwang Juang, Kuldip K. Paliwal, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Fast principal component analysis using fixed-point algorithm

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2007, Pattern Recognit. Lett..

ID FEATURES FOR SPEECH RECOGNIT1

Kuldip K. Paliwal, 1998 .

Diphone-Based Concatenative Speech Synthesis System for Mongolian

Kuldip K. Paliwal, Munkhtuya Davaatsagaan, 2008, IMECS 2008.

Effect of different sampling rates and feature vector sizes on speech recognition performance

Kuldip K. Paliwal, C. Ssnderson, K. Paliwal, 1997, TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).

Low bit-rate image coding using 2-D linear prediction and 2-D stochastic excitation

Kuldip K. Paliwal, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Speech-Signal-Based Frequency Warping

Kuldip K. Paliwal, James G. Lyons, Benjamin J. Shannon, 2009, IEEE Signal Processing Letters.

A block cosine transform and its application in speech recognition

Satoshi Nakamura, Kuldip K. Paliwal, Jingdong Chen, 2000, INTERSPEECH.

Cancer classification by gradient LDA technique using microarray gene expression data

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2008, Data Knowl. Eng..

Modulation-domain Kalman filtering for single-channel speech enhancement

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2011, Speech Commun..

Intrusion detection using text processing techniques with a kernel based similarity measure

Kuldip K. Paliwal, Alok Sharma, Arun K. Pujari, 2007, Comput. Secur..

Synthesis‐based recognition of continuous speech

Kuldip K. Paliwal, P. V. S. Rao, 1979 .

Spectral Subband Centroids for Tone Vocoder Simulations of Cochlear Implants

Kuldip K. Paliwal, Anwesha Chatterjee, 2016 .

Effect of rasta-type processing for speech recognition with speaking-rate mismatches

Kuldip K. Paliwal, Harald Singer, Yoshinori Sagisaka, 1995, EUROSPEECH.

A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2012, Pattern Recognit..

Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification

Kuldip K. Paliwal, Godfrey C. Onwubolu, Alok Sharma, 2006, Pattern Recognit..

Robust feature extraction using subband spectral centroid histograms

Kuldip K. Paliwal, Bojana Gajic, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, Australasian Conference on Artificial Intelligence.

Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, J. Adv. Comput. Intell. Intell. Informatics.

Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

Kuldip K. Paliwal, Rhys Heffernan, Yaoqi Zhou, 2016, Briefings Bioinform..

A Smoothed and Thresholded Linear Prediction Analysis for Efficient Speech Coding

Kuldip K. Paliwal, Aadel Alatwi, 2018, JCM.

Speech recognition based on acoustically derived segment units

Kuldip K. Paliwal, Yoshinori Sagisaka, Michiel Bacchiani, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Multi-frame GMM-based block quantisation of line spectral frequencies

Kuldip K. Paliwal, Stephen So, 2005, Speech Commun..

Performance study of stochastic speech coders

Kuldip K. Paliwal, Andrew Perkis, Tor A. Ramstad, 1991, Speech Commun..

Feature extraction and model-based noise compensation for noisy speech recognition evaluated on AURORA 2 task

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2001, INTERSPEECH.

Representing frequencies in speech

Kuldip K. Paliwal, Bishnu S. Atal, 2003, NOLISP.

A study of two-formant models for vowel identification

Kuldip K. Paliwal, William A. Ainsworth, D. Lindsay, 1983, Speech Commun..

SUBTRACTION OF ADDITIVE NOISE FROM CORRUPTED SPEECH FOR ROBUST SPEECH RECOGNITION

Satoshi Nakamura, Kuldip K. Paliwal, J Chen, 2001 .

A Hybrid Coder for Code-Excited Linear Predictive Coding of Images

Kuldip K. Paliwal, Farshid Golchin, 1996, Fourth International Symposium on Signal Processing and Its Applications.

Noise Speech Recognition based on Robust Features and A Model-Based Noise Compensation evaluated on Aurora-2 Task

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2001 .

Multi-Frame GMM-Based Block Quantisation for Distributed Speech Recognition Under Noisy Conditions

Kuldip K. Paliwal, Stephen So, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Masked multi-head self-attention for causal speech enhancement

Kuldip K. Paliwal, Aaron Nicolson, K. Paliwal, 2020, Speech Commun..

Efficient vector quantisation of line spectral frequencies using the switched split vector quantiser

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2004, INTERSPEECH.

USE OF VOICING AND PITCH INFORMATION FOR SPEAKER RECOGNITION

Kuldip K. Paliwal, Brett Richard Wildermoth, 2000 .

Bidirectional recurrent neural networks

Kuldip K. Paliwal, Mike Schuster, K. Paliwal, 1997, IEEE Trans. Signal Process..

A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2015, Int. J. Data Min. Bioinform..

An efficient approximation-elimination algorithm for fast-nearest-neighbour search (speech coding)

Kuldip K. Paliwal, V. Ramasubramanian, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm

Kuldip K. Paliwal, Yoshinori Sagisaka, Michiel Bacchiani, 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, BMC Bioinformatics.

Minimum-entropy clustering and its application to lossless image coding

Kuldip K. Paliwal, Farshid Golchin, 1997, Proceedings of International Conference on Image Processing.

Noise adaptive speech recognition with acoustic models trained from noisy speech evaluated on Aurora-2 database

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2002, INTERSPEECH.

Feature extraction from higher-lag autocorrelation coefficients for robust speech recognition

Kuldip K. Paliwal, Benjamin J. Shannon, K. Paliwal, 2006, Speech Commun..

Single Channel Speech Enhancement Using MMSE Estimation of Short-Time Modulation Magnitude Spectrum

Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin, 2011, INTERSPEECH.

Usefulness of phase spectrum in human speech perception

Kuldip K. Paliwal, Leigh D. Alsteris, K. Paliwal, 2003, INTERSPEECH.

Dynamic frequency warping for speaker adaptation in automatic speech recognition

Kuldip K. Paliwal, William A. Ainsworth, 1985 .

A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction

Kuldip K. Paliwal, Xuechuan Wang, K. Paliwal, 2002, J. VLSI Signal Process..

Splitting Technique Initialization in Local PCA

Kuldip K. Paliwal, Godfrey C. Onwubolu, Alokanand Sharma, 2006 .

Pattern classification: An improvement using combination of VQ and PCA techniques

Kuldip K. Paliwal, Godfrey C. Onwubolu, Alok Sharma, 2005 .

A study of LSF representation for speaker-dependent and speaker-independent HMM-based speech recognition systems

Kuldip K. Paliwal, 1990, International Conference on Acoustics, Speech, and Signal Processing.

An Optimum-Tapered Energy-Weighted Burg Method for Spectral Estimation of Sinusoids

Kuldip K. Paliwal, K. Paliwal, 1986 .

Sensitivity Metric-Based Tuning of the Augmented Kalman Filter for Speech Enhancement

Kuldip K. Paliwal, Sujan Kumar Roy, 2020, 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS).

A two-stage linear discriminant analysis for face-recognition

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2012, Pattern Recognit. Lett..

Noise compensation in a person verification system using face and multiple speech feature

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2003, Pattern Recognit..

An Iterative Kalman Filter with Reduced-Biased Kalman Gain for Single Channel Speech Enhancement in Non-stationary Noise Condition

Kuldip K. Paliwal, Sujan Kumar Roy, 2019 .

Scalable distributed speech recognition using multi-frame GMM-based block quantization

Kuldip K. Paliwal, Stephen So, 2004, INTERSPEECH.

Noise driven short-time phase spectrum compensation procedure for speech enhancement

Kuldip K. Paliwal, James G. Lyons, Kamil K. Wójcicki, 2008, INTERSPEECH.

Scalable distributed speech recognition using Gaussian mixture model-based block quantisation

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2006, Speech Commun..

Multi-modal person verification system based on face profiles and speech

Kuldip K. Paliwal, Conrad Sanderson, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

On the Relative Importance of the Short-Time Magnitude and Phase Spectra Towards Speaker Dependent Information

Kuldip K. Paliwal, Kamil Wojcicki, 2008 .

Efficient vector quantization of LPC parameters at 24 bits/frame

Kuldip K. Paliwal, B. Atal, K. Paliwal, 1990, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Phase distortion resulting in a just noticeable difference in the perceived quality of speech

Kuldip K. Paliwal, Belinda Schwerin, Roger Chappel, 2016, Speech Commun..

A feature selection method using fixed-point algorithm for DNA microarray gene expression data

Kuldip K. Paliwal, Satoru Miyano, Alok Sharma, 2014, Int. J. Knowl. Based Intell. Eng. Syst..

Frequency Dependent Time-Scale Modification

Kuldip K. Paliwal, Timothy Roberts, 2018, 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS).

Robust speech recognition in noisy environments based on subband spectral centroid histograms

Kuldip K. Paliwal, Bojana Gajic, K. Paliwal, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

A Non-Iterative Kalman Filtering Algorithm with Dynamic Gain Adjustment for Single-Channel Speech Enhancement

Kuldip K. Paliwal, Stephen So, Ratna Ghosh, 2016 .

Noise robust speech recognition using higher-lag autocorrelation coefficients

Kuldip K. Paliwal, Ben James Shannon, 2005 .

Product of power spectrum and group delay function for speech recognition

Kuldip K. Paliwal, Donglai Zhu, K. Paliwal, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A study of line spectrum pair frequencies for speech recognition

Kuldip K. Paliwal, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Classifying microarray cancer datasets using nearest subspace classification

Kuldip K. Paliwal, Michael Cohen, K. Paliwal, 2008, ICPR 2008.

Identity verification using speech and face information

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2004, Digit. Signal Process..

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition

Kuldip K. Paliwal, Satoru Miyano, James G. Lyons, 2013, BMC Bioinformatics.

Empirical Lower Bound on the Bitrate for the Transparent Memoryless Coding of Wideband LPC Parameters

Kuldip K. Paliwal, Stephen So, 2006, IEEE Signal Processing Letters.

Efficient vector quantisation of wideband LPC parameters using the ML-SSVQ

Kuldip K. Paliwal, Stephen So, 2007 .

A Time-Scale Modification Dataset with Subjective Quality Labels

Kuldip K. Paliwal, Timothy Roberts, K. Paliwal, 2020, The Journal of the Acoustical Society of America.

Some experiments on iterative reconstruction of speech from STFT phase and magnitude spectra

Kuldip K. Paliwal, Leigh D. Alsteris, 2005, INTERSPEECH.

Comparative evaluation of speech enhancement methods for robust automatic speech recognition

Kuldip K. Paliwal, James G. Lyons, Stephen So, 2010, 2010 4th International Conference on Signal Processing and Communication Systems.

A synthesis-based method for pitch extraction

Kuldip K. Paliwal, P. V. S. Rao, 1983, Speech Commun..

Efficient product code vector quantisation using the switched split vector quantiser

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2007, Digit. Signal Process..

Effect of Analysis Window Duration on Speech Intelligibility

Kuldip K. Paliwal, Kamil K. Wójcicki, 2008, IEEE Signal Processing Letters.

A Deep Learning-Based Kalman Filter for Speech Enhancement

Kuldip K. Paliwal, Aaron Nicolson, Sujan Kumar Roy, 2020, INTERSPEECH.

Influence of autocorrelation lag ranges on robust speech recognition

Kuldip K. Paliwal, Benjamin J. Shannon, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator

Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin, 2012, Speech Commun..

Improved direct LDA and its application to DNA microarray gene expression data

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2010, Pattern Recognit. Lett..

A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, IEEE Transactions on NanoBioscience.

Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction

Kuldip K. Paliwal, Alokanand Sharma, 2006 .

On the performance of the quefrency-weighted cepstral coefficients in vowel recognition

Kuldip K. Paliwal, K. Paliwal, 1982, Speech Commun..

LONG - TERM EFFECT REMOVAL FOR NOISY SPEECH RECOGNITION

Kuldip K. Paliwal, Satoshi Nakamura, J Chen, 2000 .

Approximate LDA Technique for Dimensionality Reduction in the Small Sample Size Case

Kuldip K. Paliwal, Alok Sharma, 2011 .

Fast Vector Quantization Encoding Based onK-d Tree Backtracking Search Algorithm

Kuldip K. Paliwal, V. Ramasubramanian, V. Ramasubramanian, 1997, Digit. Signal Process..

Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, PRIB.

A Comparative Study of Filter Bank Spacing for Speech Recognition

Kuldip K. Paliwal, Benjamin J. Shannon, Ben James Shannon, 2003 .

Multiple frame block quantisation of line spectral frequencies using Gaussian mixture models

Kuldip K. Paliwal, Stephen So, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Lexicon-building methods for an acoustic sub-word based speech recognizer

Kuldip K. Paliwal, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Genetic algorithm for an optimized weighted voting scheme incorporating k-separated bigram transition probabilities to improve protein fold recognition

Kuldip K. Paliwal, Satoru Miyano, Abdollah Dehzangi, 2014, Asia-Pacific World Congress on Computer Science and Engineering.

Exploiting Conjugate Symmetry of the Short-Time Fourier Spectrum for Speech Enhancement

Kuldip K. Paliwal, James G. Lyons, Kamil K. Wójcicki, 2008, IEEE Signal Processing Letters.

Further intelligibility results from human listening tests using the short-time phase spectrum

Kuldip K. Paliwal, Leigh D. Alsteris, K. Paliwal, 2006, Speech Commun..

Kuldip K. Paliwal, K. Paliwal, Ãºãº Èèððûûð, 1999 .

Application of k-Nearest-Neighbor Decision Rule in Vowel Recognition

Kuldip K. Paliwal, P. V. S. Rao, K. Paliwal, 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Subband Coding of Images Using Predictive Vector Quantization

Kuldip K. Paliwal, Farshid Golchin, 1996, Fourth International Symposium on Signal Processing and Its Applications.

Robust parameters for speech recognition based on subband spectral centroid histograms

Kuldip K. Paliwal, Bojana Gajic, K. Paliwal, 2001, INTERSPEECH.

MMSE estimation of log-filterbank energies for robust speech recognition

Kuldip K. Paliwal, Anthony P. Stark, K. Paliwal, 2011, Speech Commun..

Estimation of noise variance from the noisy AR signal and its application in speech enhancement

Kuldip K. Paliwal, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Effect of preemphasis on vowel recognition performance

Kuldip K. Paliwal, 1984, Speech Commun..

Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2008, IEEE Transactions on Knowledge and Data Engineering.

Modulation domain spectral subtraction for speech enhancement

Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin, 2009, INTERSPEECH.

Speech enhancement using STFT of real and imaginary parts of modulation signals

Kuldip K. Paliwal, Belinda Schwerin, 2012 .

An improved speech transmission index for intelligibility prediction

Kuldip K. Paliwal, Belinda Schwerin, 2014, Speech Commun..

Voronoi Projection-Based Fast Nearest-Neighbor Search Algorithms: Box-Search and Mapping Table-Based Search Techniques

Kuldip K. Paliwal, V. Ramasubramanian, V. Ramasubramanian, 1997, Digit. Signal Process..

Features for robust face-based identity verification

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2003, Signal Process..

Robust speech recognition using features based on zero crossings with peak amplitudes

Kuldip K. Paliwal, Bojana Gajic, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Fast converging iterative kalman filtering for speech enhancement using long and overlapped tapered windows with large side lobe attenuation

Kuldip K. Paliwal, Stephen So, 2010, INTERSPEECH.

A modification over Sakoe and Chiba's dynamic time warping algorithm for isolated word recognition☆

Kuldip K. Paliwal, Anant Agarwal, Sarvajit S. Sinha, 1982 .

Fast feature extraction method for robust face verification

Kuldip K. Paliwal, Conrad Sanderson, 2002 .

Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning

Jaswinder Singh, Kuldip K. Paliwal, James G. Lyons, 2018, J. Comput. Chem..

On the Use of Speech and Face Information for Identity Verification

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2004 .

A response generation in the Mongolian spoken language system for accessing to multimedia knowledge base

Kuldip K. Paliwal, Munkhtuya Davaatsagaan, 2008, 2008 IEEE Spoken Language Technology Workshop.

Model parameter estimation for mixture density polynomial segment models

Kuldip K. Paliwal, Yoshinori Sagisaka, Toshiaki Fukada, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

Kuldip K. Paliwal, Rhys Heffernan, Yaoqi Zhou, 2017, Bioinform..

A multi-pulse excited linear prediction (MPELP) coding system for noisy speech

Kuldip K. Paliwal, 1986 .

Linear discriminant analysis for the small sample size problem: an overview

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2015, Int. J. Mach. Learn. Cybern..

Single-channel speech enhancement using spectral subtraction in the short-time modulation domain

Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin, 2010, Speech Commun..

A maximum likelihood equalization technique for robust speech recognition in adverse environments

Kuldip K. Paliwal, 1995, EUROSPEECH.

Spectral subband centroid features for speech recognition

Kuldip K. Paliwal, K. Paliwal, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Using STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement

Kuldip K. Paliwal, Belinda Schwerin, 2014, Speech Commun..

Robust speech recognition under noisy ambient conditions

Kuldip K. Paliwal, Kaisheng Yao, K. Paliwal, 2010, AmI 2010.

Model based noisy speech recognition with environment parameters estimated by noise adaptive speech recognition with prior

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2003, INTERSPEECH.

Group-delay-deviation based spectral analysis of speech

Kuldip K. Paliwal, Anthony P. Stark, 2009, INTERSPEECH.

Information fusion for robust speaker verification

Kuldip K. Paliwal, Conrad Sanderson, 2001, INTERSPEECH.

A long state vector kalman filter for speech enhancement

Kuldip K. Paliwal, Stephen So, 2008, INTERSPEECH.

Multi-frame GMM-based block quantisation of line spectral frequencies for wideband speech coding

Kuldip K. Paliwal, Stephen So, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Sum-Product Networks for Robust Automatic Speaker Identification

Kuldip K. Paliwal, Aaron Nicolson, K. Paliwal, 2019, INTERSPEECH.

Deep Learning with Augmented Kalman Filter for Single-Channel Speech Enhancement

Kuldip K. Paliwal, Aaron Nicolson, Sujan Kumar Roy, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

An Isolated Word Recognition System for Hindi Digits Using Linear Time Normalization

Kuldip K. Paliwal, Anant Agarwal, Sarvajit S. Sinha, 1983 .

Effect of Speech and Noise Cross Correlation on AMFCC Speech Recognition Features

Kuldip K. Paliwal, Benjamin J. Shannon, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Monaural Speech Enhancement Using a Multi-Branch Temporal Convolutional Network

Kuldip K. Paliwal, Chenxu Wang, Mingjiang Wang, 2019 .

EVALUATION OF VARIOUS LINEAR PREDICTION PARAMETRIC REPRESENTATIONS IN VOWEL RECOGNITION

Kuldip K. Paliwal, P.V.S. Rao, 1982 .

Spectral estimation using higher-lag autocorrelation coefficients with applications to speech recognition

Kuldip K. Paliwal, Benjamin J. Shannon, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Suppressing the influence of additive noise on the Kalman gain for low residual noise speech enhancement

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2011, Speech Commun..

Efficient vector quantization of LPC parameters at 24 bits/frame

Kuldip K. Paliwal, Bishnu S. Atal, 1993, IEEE Trans. Speech Audio Process..

Cyclic autocorrelation-based linear prediction analysis of speech

Kuldip K. Paliwal, Yoshinori Sagisaka, 1997, EUROSPEECH.

Discriminative learning and informative learning in pattern recognition

Kuldip K. Paliwal, Xuechuan Wang, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Iterative reconstruction of speech from short-time Fourier transform phase and magnitude spectra

Kuldip K. Paliwal, Leigh D. Alsteris, 2007, Comput. Speech Lang..

ASR on speech reconstructed from short-time fourier phase spectra

Kuldip K. Paliwal, Leigh D. Alsteris, 2004, INTERSPEECH.

Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition

Kuldip K. Paliwal, Anthony P. Stark, 2011, Speech Commun..

Deep Residual-Dense Lattice Network for Speech Enhancement pdf

Kuldip K. Paliwal, Fanhua Shang, Yongsheng Gao, 2020, AAAI.

An efficient approximation-elimination algorithm for fast nearest-neighbour search based on a spherical distance coordinate formulation

Kuldip K. Paliwal, V. Ramasubramanian, V. Ramasubramanian, 1992, Pattern Recognit. Lett..

Spectral Subband Centroids for Robust Speaker Identification using Marginalization-based Missing Feature Theory

Kuldip K. Paliwal, James G. Lyons, Jack Hanson, 2018 .

Automatic Speech and Speaker Recognition

Kuldip K. Paliwal, Chin-Hui Lee, Frank K. Soong, 1996 .

Minimum classification error training algorithm for feature extractor and pattern classifier in speech recognition

Kuldip K. Paliwal, Yoshinori Sagisaka, Michiel Bacchiani, 1995, EUROSPEECH.

Reconstruction of a Signal from the Real Part of Its Discrete Fourier Transform [Tips & Tricks]

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2018, IEEE Signal Processing Magazine.

Usefulness of phase in human speech perception

Kuldip K. Paliwal, Leigh D. Alsteris, 2003, NOLISP.

Spectral Subtraction With Variance Reduced Noise Spectrum Estimates

Kuldip K. Paliwal, Kamil Wojcicki, Ben James Shannon, 2006 .

Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, PRIB.

A Non-Iterative Kalman Filter for Single Channel Speech Enhancement in Non-Stationary Noise Condition

Kuldip K. Paliwal, Sujan Kumar Roy, 2018, 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS).

Switched split vector quantisation of line spectral frequencies for wideband speech coding

Kuldip K. Paliwal, Stephen So, 2005, INTERSPEECH.

Feature extraction for integrated pattern recognition systems

Kuldip K. Paliwal, Xuechuan Wang, 2002 .

Effect of ordering the codebook on the efficiency of the partial distance search algorithm for vector quantization

Kuldip K. Paliwal, V. Ramasubramanian, 1989, IEEE Trans. Commun..

Neural net classifiers for robust speech recognition under noisy environments

Kuldip K. Paliwal, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Automatic Speech and Speaker Recognition: Advanced Topics

Kuldip K. Paliwal, Chin-Hui Lee, Frank K. Soong, 1999 .

The importance of phase in speech enhancement

Kuldip K. Paliwal, Benjamin J. Shannon, Kamil K. Wójcicki, 2011, Speech Commun..

Special Issue on Iberian Languages

Kuldip K. Paliwal, Rubén San-Segundo-Hernández, Isabel Trancoso, 2008, Speech Commun..

Low-complexity GMM-based block quantisation of images using the discrete cosine transform

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2005, Signal Process. Image Commun..

Joint Cohort normalization in a multi-feature speaker verification system

Kuldip K. Paliwal, Conrad Sanderson, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Deep Learning-Based Single-Ended Objective Quality Measures for Time-Scale Modified Audio pdf

Kuldip K. Paliwal, Aaron Nicolson, Timothy Roberts, 2020, ArXiv.

Maximum likelihood sub-band adaptation for robust speech recognition

Satoshi Nakamura, Kuldip K. Paliwal, Ren-Hua Wang, 2005, Speech Commun..

Structurally noise resistant classifier for multi-modal person verification

Kuldip K. Paliwal, Conrad Sanderson, 2003, Pattern Recognit. Lett..

Using long-term information to improve robustness in Speaker Identification

Kuldip K. Paliwal, James G. Lyons, James G. O'Connell, 2010, 2010 4th International Conference on Signal Processing and Communication Systems.

Role of modulation magnitude and phase spectrum towards speech intelligibility

Kuldip K. Paliwal, Kamil K. Wójcicki, Belinda Schwerin, 2011, Speech Commun..

DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation

Kuldip K. Paliwal, Qiquan Zhang, Mingjiang Wang, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks

Kuldip K. Paliwal, Yaoqi Zhou, Yuedong Yang, 2018, Bioinform..

Time-Scale Modification Using Fuzzy Epoch-Synchronous Overlap-Add (FESOLA)

Kuldip K. Paliwal, Timothy Roberts, K. Paliwal, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Robust speech recognition using singular value decomposition based speech enhancement

Kuldip K. Paliwal, B. T. Lilly, 1997, TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).

Preference for 20-40 ms window duration in speech analysis

Kuldip K. Paliwal, James G. Lyons, Kamil K. Wójcicki, 2010, 2010 4th International Conference on Signal Processing and Communication Systems.

Use of spectral subband moments in MFCC computation

Kuldip K. Paliwal, Eigil Gjelsvik, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Fast nearest-neighbor search based on Voronoi projections and its application to vector quantization encoding

Kuldip K. Paliwal, V. Ramasubramanian, 1999, IEEE Trans. Speech Audio Process..

Stereo Time-Scale Modification Using Sum and Difference Transformation

Kuldip K. Paliwal, Timothy Roberts, K. Paliwal, 2018, 2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS).

Hidden Markov models with first-order equalization for noisy speech recognition

Biing-Hwang Juang, Kuldip K. Paliwal, 1992, IEEE Trans. Signal Process..

Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio

Kuldip K. Paliwal, Ángel M. Gómez, Belinda Schwerin, 2012, Speech Commun..

Evaluation of the modified group delay feature for isolatedword recognition

Kuldip K. Paliwal, Leigh D. Alsteris, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Speech Coding and Synthesis

Kuldip K. Paliwal, Willem Bastiaan Kleijn, K. Paliwal, 1995 .

Speech enhancement using multi-pulse excited linear prediction system

Kuldip K. Paliwal, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

A modified autocorrelation method of linear prediction for pitch-synchronous analysis of voiced speech

Kuldip K. Paliwal, P.V.S. Rao, 1981 .

A comparative performance evaluation of pitch estimation methods for TDHS/sub-band coding of speech

Kuldip K. Paliwal, A. I. Aarskog, K. Paliwal, 1984, Speech Commun..

Improved noise-robustness in distributed speech recognition via perceptually-weighted vector quantisation of filterbank energies

Kuldip K. Paliwal, Stephen So, 2005, INTERSPEECH.

Perceptually motivated linear prediction cepstral features for network speech recognition

Kuldip K. Paliwal, Stephen So, Aadel Alatwi, 2016, 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS).

Speech analysis using instantaneous frequency deviation

Kuldip K. Paliwal, Anthony P. Stark, 2008, INTERSPEECH.

Quadtree based classification with arithmetic and trellis coded quantization for subband image coding

Kuldip K. Paliwal, Farshid Golchin, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Reducing Inter-Session Variability With Transitional Spectral Information

Kuldip K. Paliwal, Brett Richard Wildermoth, 2001 .

Fast nearest-neighbor search algorithms based on approximation-elimination search

Kuldip K. Paliwal, V. Ramasubramanian, V. Ramasubramanian, 2000, Pattern Recognit..

An educational platform to demonstrate speech processing techniques on Android based smart phones and tablets

Kuldip K. Paliwal, Roger Chappel, 2014, Speech Commun..

Speaker recognition using acoustically derived units

Kuldip K. Paliwal, Brett Richard Wildermoth, 2005 .

Classified adaptive prediction and entropy coding for lossless coding of images

Kuldip K. Paliwal, Farshid Golchin, 1997, Proceedings of International Conference on Image Processing.

A comparison of LSF and ISP representations for wideband LPC parameter coding using the switched split vector quantiser

Kuldip K. Paliwal, Stephen So, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Importance of the Dynamic Range of an Analysis Windowfunction for Phase-Only and Magnitude-Only Reconstruction of Speech

Kuldip K. Paliwal, Kamil K. Wójcicki, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Comments on "modified K-means algorithm for vector quantizer design"

Kuldip K. Paliwal, V. Ramasubramanian, 2000, IEEE Trans. Image Process..

Estimation of noise variance from the noisy AR signal and its application in speech enhancement

Kuldip K. Paliwal, 1988, IEEE Trans. Acoust. Speech Signal Process..

Information Fusion and Person Verification Using Speech & Face Information

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2002 .

Kuldip K. Paliwal, Bishnu S. Atal, 2003, INTERSPEECH.

Effect of Speech Coders on Speech Recognition Performance

Kuldip K. Paliwal, B. T. Lilly, K. Paliwal, 1996, Fourth International Symposium on Signal Processing and Its Applications.

Robust linear prediction analysis for low bitrate speech coding

Kuldip K. Paliwal, Nanda Prasetiyo Koestoer, 2002 .

Robustness metric-based tuning of the augmented Kalman filter for the enhancement of speech corrupted with coloured noise

Kuldip K. Paliwal, Stephen So, Ratna Ghosh, 2018, Speech Commun..

Sub-band based additive noise removal for robust speech recognition

Satoshi Nakamura, Kuldip K. Paliwal, Jingdong Chen, 2001, INTERSPEECH.

Model parameter estimation for mixture density polynomial segment models

Kuldip K. Paliwal, Yoshinori Sagisaka, Toshiaki Fukada, 1998, Comput. Speech Lang..

Quadtree-based classification in subband image coding

Kuldip K. Paliwal, Farshid Golchin, K. Paliwal, 2003, Digit. Signal Process..

Causal Convolutional Encoder Decoder-Based Augmented Kalman Filter for Speech Enhancement

Kuldip K. Paliwal, Sujan Kumar Roy, 2020, 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS).

Noise adaptive speech recognition based on sequential noise parameter estimation

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2004, Speech Commun..

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2015, BMC Bioinformatics.

Use of temporal correlation between successive frames in a hidden Markov model based speech recognizer

Kuldip K. Paliwal, K. Paliwal, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An Objective Measure of Quality for Time-Scale Modification of Audio pdf

Kuldip K. Paliwal, Timothy Roberts, 2020, ArXiv.

Short-time phase spectrum in speech processing: A review and some experimental results

Kuldip K. Paliwal, Leigh D. Alsteris, K. Paliwal, 2007, Digit. Signal Process..

A Gradient Linear Discriminant Analysis for Small Sample Sized Problem

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2008, Neural Processing Letters.

On the usefulness of STFT phase spectrum in human listening tests

Kuldip K. Paliwal, Leigh D. Alsteris, K. Paliwal, 2005, Speech Commun..

Switched split vector quantiser and its application to LPC parameter quantisation in wideband speech coding

Kuldip K. Paliwal, Stephen So, 2005 .

Cepstrum derived from differentiated power spectrum for robust speech recognition

Satoshi Nakamura, Kuldip K. Paliwal, Jingdong Chen, 2003, Speech Commun..

Speech coding at 4 kb/s and lower using single-pulse and stochastic models of LPC excitation

Kuldip K. Paliwal, B. Atal, W. Granzow, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2016, Bioinform..

Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based Minimum Mean-Square Error Estimators

Kuldip K. Paliwal, Kamil Wojcicki, James O'Connell, 2012 .

Design of a speech recognition system based on acoustically derived segmental units

Kuldip K. Paliwal, Mari Ostendorf, Yoshinori Sagisaka, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Polynomial features for robust face authentication

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2002, Proceedings. International Conference on Image Processing.

A comparative study of feature representations for robust speech recognition in adverse environments

Kuldip K. Paliwal, Bishnu S. Atal, 1994, ICSLP.

Unsupervised Learning of Non-uniform Segmental Units for Acoustic Modeling in Speech Recognition

Kuldip K. Paliwal, Mari Ostendorf, Yoshinori Sagisaka, 1995 .

A speech enhancement method based on Kalman filtering

Kuldip K. Paliwal, A. Basu, K. Paliwal, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Fast features for face authentication under illumination direction changes

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2003, Pattern Recognit. Lett..

Noise compensation in a multi-modal verification system

Kuldip K. Paliwal, Conrad Sanderson, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Noise resistant audio-visual verification via structural constraints

Kuldip K. Paliwal, Conrad Sanderson, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Special issue on non-linear and non-conventional speech processing

Kuldip K. Paliwal, Marcos Faúndez-Zanuy, Mohamed Chetouani, 2009, Speech Commun..

Speech Enhancement for Android (SEA): A Speech Processing Demonstration Tool for Android Based Smart Phones and Tablets

Kuldip K. Paliwal, Roger Chappel, 2012, INTERSPEECH.

Modulation Processing for Speech Enhancement

Kuldip K. Paliwal, Belinda Schwerin, 2015 .

A study of line spectrum pair frequencies for vowel recognition

Kuldip K. Paliwal, 1989, Speech Commun..

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Bidirectional Long-Short Term Memory Network-based Estimation of Reliable Spectral Component Locations

Kuldip K. Paliwal, Aaron Nicolson, K. Paliwal, 2018, INTERSPEECH.

A noise-compensated long correlation matching method for AR spectral estimation of noisy signals

Kuldip K. Paliwal, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Speaker normalized spectral subband parameters for noise robust speech recognition

Kuldip K. Paliwal, Harald Singer, Satoru Tsuge, 1999 .

Reducing the complexity of the LPC vector quantizer using the k-d tree search algorithm

Kuldip K. Paliwal, V. Ramasubramanian, 1997, EUROSPEECH.

Sum-Product Networks for Robust Automatic Speaker Recognition pdf

Kuldip K. Paliwal, Aaron Nicolson, 2019, ArXiv.

MFCC computation from magnitude spectrum of higher lag autocorrelation coefficients for robust speech recognition

Kuldip K. Paliwal, Benjamin J. Shannon, 2004, INTERSPEECH.

An improved sub-word based speech recognizer

Kuldip K. Paliwal, Torbjørn Svendsen, E. Harborg, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Effect of compressing the dynamic range of the power spectrum in modulation filtering based speech enhancement

Kuldip K. Paliwal, James G. Lyons, K. Paliwal, 2008, INTERSPEECH.

A lossless image coder with context classification, adaptive prediction and adaptive entropy coding

Kuldip K. Paliwal, Farshid Golchin, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Speech recognition with a generative factor analyzed hidden Markov model

Kuldip K. Paliwal, Kaisheng Yao, Te-Won Lee, 2003, INTERSPEECH.

A study of three coders (sub-band, RELP and MPE) for speech with additive white noise

Kuldip K. Paliwal, Torbjørn Svendsen, 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

A deterministic approach to regularized linear discriminant analysis

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2015, Neurocomputing.

Subspace independent component analysis using vector kurtosis

Kuldip K. Paliwal, Alok Sharma, 2006, Pattern Recognit..

Deep Xi as a Front-End for Robust Automatic Speech Recognition pdf

Kuldip K. Paliwal, Aaron Nicolson, K. Paliwal, 2019, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE).

Kalman Filter with Sensitivity Tuning for Improved Noise Reduction in Speech

Kuldip K. Paliwal, Stephen So, Ratna Ghosh, 2017, Circuits Syst. Signal Process..

A context-based adaptive predictor for use in lossless image coding

Kuldip K. Paliwal, F. Golchin, 1997, TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162).

Role of phase estimation in speech enhancement

Kuldip K. Paliwal, Benjamin J. Shannon, 2006, INTERSPEECH.

Desktop applications for Mongolian blind people using CR engine and TTS synthesiser for Mongolian

Kuldip K. Paliwal, Munkhtuya Davaatsagaan, Batsaikhan Osorhuu, 2008 .

Adaptive Multi-Modal Person Verification System

Kuldip K. Paliwal, Conrad Sanderson, 2000 .

An Introduction to Speech Coding

Kuldip K. Paliwal, Willem Bastiaan Kleijn, 1995 .

A Smoothed and Thresholded Linear Prediction Analysis for Efficient Speech Coding

Kuldip K. Paliwal, Aadel Alatwi, 2018, J. Commun..

Quantization of Speech Features: Source Coding

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2008 .

Recognition of noisy speech using cumulant-based linear prediction analysis

Kuldip K. Paliwal, Man Mohan Sondhi, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Importance of window shape for phase-only reconstruction of speech

Kuldip K. Paliwal, Leigh D. Alsteris, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Improved nearest centroid classifier withshrunken distance measure for null LDAmethod on cancer classification problem

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2010 .

Likelihood normalization for face authentication in variable recording conditions

Kuldip K. Paliwal, Conrad Sanderson, 2002, Proceedings. International Conference on Image Processing.

Using minimum classification error training in dimensionality reduction

Kuldip K. Paliwal, X. Wang, K. Paliwal, 2000, Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501).

Objective Intelligibility Prediction of Speech by Combining Correlation and Distortion Based Techniques

Kuldip K. Paliwal, Ángel M. Gómez, Belinda Schwerin, 2011, INTERSPEECH.

Improved Pseudoinverse Linear Discriminant Analysis Method for Dimensionality Reduction

Kuldip K. Paliwal, Alok Sharma, K. Paliwal, 2012, Int. J. Pattern Recognit. Artif. Intell..

Deep learning for minimum mean-square error approaches to speech enhancement

Kuldip K. Paliwal, Aaron Nicolson, K. Paliwal, 2019, Speech Commun..

Efficient Block Coding of Images using Gaussian Mixture Models

Kuldip K. Paliwal, Stephen So, 2002 .

Usefulness of phase in speech processing

Kuldip K. Paliwal, K. Paliwal, 2003 .

Effect of speech coders on speech recognition performance

Kuldip K. Paliwal, B. T. Lilly, K. Paliwal, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Detecting masquerades using a combination of Naïve Bayes and weighted RBF approach

Kuldip K. Paliwal, Alok Sharma, 2007, Journal in Computer Virology.

Lossless coding of MPEG-1 Layer III encoded audio streams

Kuldip K. Paliwal, Farshid Golchin, K. Paliwal, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding

Kuldip K. Paliwal, Stephen So, K. Paliwal, 2007, Digit. Signal Process..

A time-derivative neural net architecture-an alternative to the time-delay neural net architecture

Kuldip K. Paliwal, K. Paliwal, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

Kalman fitler with phase spectrum compensation algorithm for speech enhancement

Kuldip K. Paliwal, James G. Lyons, Kamil K. Wójcicki, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A comparative performance evaluation of adaptive ARMA spectral estimation methods for noisy speech

Kuldip K. Paliwal, A. Basu, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Noise adaptive speech recognition in time-varying noise based on sequential kullback proximal algorithm

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A modification over Sakoe and Chiba's dynamic time warping algorithm for isolated word recognition

Kuldip K. Paliwal, Anant Agarwal, Sarvajit S. Sinha, 1982, ICASSP.

On the use of filter-bank energies as features for robust speech recognition

Kuldip K. Paliwal, K. Paliwal, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

A Gene Selection Algorithm using Bayesian Classification Approach

Kuldip K. Paliwal, Alok Sharma, 2012 .

Intelligibility of Speech from Phase Spectrum

Kuldip K. Paliwal, Leigh Alsteris, 2003 .

A Short Review of Deep Learning Neural Networks in Protein Structure Prediction Problems

Kuldip K. Paliwal, James G. Lyons, Rhys Heffernan, 2015 .

Fast adaptation using constrained affine transformations with hierarchical priors

Kuldip K. Paliwal, Torbjørn Svendsen, Tor André Myrvoll, 2001, INTERSPEECH.

A Speech Processing Research Platform for Android Based Smart Phones and Tablets

Kuldip K. Paliwal, Roger Chappel, 2012 .

Generative factor analyzed HMM for automatic speech recognition

Kuldip K. Paliwal, Kaisheng Yao, Te-Won Lee, 2005, Speech Commun..

A fractional bit encoding technique for the GMM-based block quantisation of images

Kuldip K. Paliwal, Stephen So, 2005, Digit. Signal Process..

Speech enhancement based on spectral estimation from higher-lag autocorrelation

Kuldip K. Paliwal, Climent Nadeu, Benjamin J. Shannon, 2006, INTERSPEECH.

Single-channel speech enhancement using kalman filtering in the modulation domain

Kuldip K. Paliwal, Kamil K. Wójcicki, Stephen So, 2010, INTERSPEECH.

Interpolation properties of linear prediction parametric representations

Kuldip K. Paliwal, 1995, EUROSPEECH.

Spectral subband centroids as features for speech recognition

Kuldip K. Paliwal, 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

The effect of the additivity assumption on time and frequency domain wiener filtering for speech enhancement

Kuldip K. Paliwal, Kamil K. Wójcicki, Stephen So, 2007, INTERSPEECH.

Maximum likelihood sub-band weighting for robust speech recognition

Satoshi Nakamura, Kuldip K. Paliwal, Ren-Hua Wang, 2003, INTERSPEECH.

Fast K-dimensional tree algorithms for nearest neighbor search with application to vector quantization encoding

Kuldip K. Paliwal, V. Ramasubramanian, V. Ramasubramanian, 1992, IEEE Trans. Signal Process..

Principal component analysis using QR decomposition

Kuldip K. Paliwal, Satoru Miyano, Alok Sharma, 2013, Int. J. Mach. Learn. Cybern..

Sequential noise compensation by a sequential kullback proximal algorithm

Satoshi Nakamura, Kuldip K. Paliwal, Kaisheng Yao, 2001, INTERSPEECH.

A feature selection method using improved regularized linear discriminant analysis

Kuldip K. Paliwal, Satoru Miyano, Alok Sharma, 2014, Machine Vision and Applications.

Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition

Kuldip K. Paliwal, Xuechuan Wang, K. Paliwal, 2003, Pattern Recognit..

Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning

Kuldip K. Paliwal, Yaoqi Zhou, Thomas Litfin, 2021, Bioinform..

SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks

Kuldip K. Paliwal, Yaoqi Zhou, Jaswinder Singh, 2021, 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Deep Learning-Based Single-Ended Quality Prediction for Time-Scale Modified Audio

Kuldip K. Paliwal, Aaron Nicolson, Timothy Roberts, 2021, Journal of the Audio Engineering Society.

Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement

Kuldip K. Paliwal, Sujan Kumar Roy, 2021, Signals.

On Training Targets for Supervised LPC Estimation to Augmented Kalman Filter-based Speech Enhancement

Kuldip K. Paliwal, Aaron Nicolson, Sujan Kumar Roy, 2021 .

Robustness and sensitivity metrics-based tuning of the augmented Kalman filter for single-channel speech enhancement

Kuldip K. Paliwal, Sujan Kumar Roy, 2022, Applied Acoustics.

DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement

Kuldip K. Paliwal, Aaron Nicolson, Sujan Kumar Roy, 2021, IEEE Access.

On training targets for deep learning approaches to clean speech magnitude spectrum estimation.

Kuldip K. Paliwal, Aaron Nicolson, K. Paliwal, 2020, Journal of the Acoustical Society of America.