Search Results - "Paliwal, K."
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Deep learning for minimum mean-square error approaches to speech enhancement
Published in Speech communication (01-08-2019)“…Recently, the focus of speech enhancement research has shifted from minimum mean-square error (MMSE) approaches, like the MMSE short-time spectral amplitude…”
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Linear discriminant analysis for the small sample size problem: an overview
Published in International journal of machine learning and cybernetics (01-06-2015)“…Dimensionality reduction is an important aspect in the pattern classification literature, and linear discriminant analysis (LDA) is one of the most widely…”
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DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation
Published in IEEE/ACM transactions on audio, speech, and language processing (2020)“…An accurate noise power spectral density (PSD) tracker is an indispensable component of a single-channel speech enhancement system. Bayesian-motivated minimum…”
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SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning
Published in Genomics, proteomics & bioinformatics (01-12-2019)“…Intrinsically disordered or unstructured proteins (or regions in proteins) have been found to be important in a wide range of biological functions and…”
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A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
Published in Journal of theoretical biology (07-03-2013)“…Discovering a three dimensional structure of a protein is a challenging task in biological science. Classifying a protein into one of its folds is an…”
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Serum metabolomics study in a group of Parkinson's disease patients from northern India
Published in Clinica chimica acta (01-05-2018)“…Parkinson's disease (PD) is the result of progressive degeneration of the nigrostriatal dopaminergic pathway and depletion of neurotransmitter dopamine in the…”
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Bidirectional recurrent neural networks
Published in IEEE transactions on signal processing (01-11-1997)“…In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network (BRNN). The BRNN can be…”
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DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement
Published in IEEE access (2021)“…Current augmented Kalman filter (AKF)-based speech enhancement algorithms utilise a temporal convolutional network (TCN) to estimate the clean speech and noise…”
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DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement
Published in IEEE access (2021)“…Current deep learning approaches to linear prediction coefficient (LPC) estimation for the augmented Kalman filter (AKF) produce bias estimates, due to the use…”
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Log-Spectral Amplitude and Spectral Polarity Estimation in Short-Time Discrete Cosine Transform Domain
Published in IEEE access (2023)“…Single-channel speech enhancement based on short-time spectral amplitude (STSA) estimation often uses the unmodified phase spectrum for speech re-synthesis,…”
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Protein fold recognition using HMM–HMM alignment and dynamic programming
Published in Journal of theoretical biology (21-03-2016)“…Detecting three dimensional structures of protein sequences is a challenging task in biological sciences. For this purpose, protein fold recognition has been…”
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Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement
Published in Signals (Basel) (01-09-2021)“…Inaccurate estimates of the linear prediction coefficient (LPC) and noise variance introduce bias in Kalman filter (KF) gain and degrade speech enhancement…”
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13
Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping
Published in Journal of theoretical biology (07-08-2014)“…In protein fold recognition, a protein is classified into one of its folds. The recognition of a protein fold can be done by employing feature extraction…”
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A deterministic approach to regularized linear discriminant analysis
Published in Neurocomputing (Amsterdam) (03-03-2015)“…The regularized linear discriminant analysis (RLDA) technique is one of the popular methods for dimensionality reduction used for small sample size problems…”
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Dietary Phytochemicals as Neurotherapeutics for Autism Spectrum Disorder: Plausible Mechanism and Evidence
Published in Advances in neurobiology (2020)“…Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with symptoms ranging from lack of social interaction and communication deficits to…”
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A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions
Published in EURASIP journal on audio, speech, and music processing (14-08-2021)“…The minimum mean-square error (MMSE)-based noise PSD estimators have been used widely for speech enhancement. However, the MMSE noise PSD estimators assume…”
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Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information
Published in BMC bioinformatics (2014)“…Deciphering three dimensional structure of a protein sequence is a challenging task in biological science. Protein fold recognition and protein secondary…”
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A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition
Published in BMC bioinformatics (24-07-2013)“…Assigning a protein into one of its folds is a transitional step for discovering three dimensional protein structure, which is a challenging task in…”
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Bioinspired Calcium Phosphate Nanoparticles Featuring as Efficient Carrier and Prompter for Macrophage Intervention in Experimental Leishmaniasis
Published in Pharmaceutical research (01-11-2016)“…Purpose To develop a biocompatible and bioresorbable calcium phosphate (CaP) nanoparticles (NPs) bearing Amphotericin B (AmB) with an aim to provide macrophage…”
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Neurological complications of dengue: beware of striking similarities with severe COVID-19
Published in Annals of the Indian Academy of Neurology (01-09-2021)Get full text
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