Search Results - "Paliwal, K."

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  1. 1

    Deep learning for minimum mean-square error approaches to speech enhancement by Nicolson, Aaron, Paliwal, Kuldip K.

    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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    Journal Article
  2. 2

    Linear discriminant analysis for the small sample size problem: an overview by Sharma, Alok, Paliwal, Kuldip K.

    “…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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  3. 3

    DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation by Zhang, Qiquan, Nicolson, Aaron, Wang, Mingjiang, Paliwal, Kuldip K., Wang, Chenxu

    “…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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  4. 4

    SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning by Hanson, Jack, Paliwal, Kuldip K., Litfin, Thomas, Zhou, Yaoqi

    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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  5. 5

    A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition by Sharma, Alok, Lyons, James, Dehzangi, Abdollah, Paliwal, Kuldip K.

    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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  6. 6

    Serum metabolomics study in a group of Parkinson's disease patients from northern India by Nagesh Babu, G., Gupta, Manjeet, Paliwal, Vimal K., Singh, Suruchi, Chatterji, Tanushri, Roy, Raja

    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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  7. 7

    Bidirectional recurrent neural networks by Schuster, M., Paliwal, K.K.

    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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  8. 8

    DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement by Roy, Sujan Kumar, Nicolson, Aaron, Paliwal, Kuldip K.

    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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  9. 9

    DeepLPC: A Deep Learning Approach to Augmented Kalman Filter-Based Single-Channel Speech Enhancement by Roy, Sujan Kumar, Nicolson, Aaron, Paliwal, Kuldip K.

    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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  10. 10

    Log-Spectral Amplitude and Spectral Polarity Estimation in Short-Time Discrete Cosine Transform Domain by Shi, Sisi, Paliwal, Kuldip K., Busch, Andrew

    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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  11. 11

    Protein fold recognition using HMM–HMM alignment and dynamic programming by Lyons, James, Paliwal, Kuldip K., Dehzangi, Abdollah, Heffernan, Rhys, Tsunoda, Tatsuhiko, Sharma, Alok

    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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  12. 12

    Robustness and Sensitivity Tuning of the Kalman Filter for Speech Enhancement by Roy, Sujan Kumar, Paliwal, Kuldip K.

    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. 13

    Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping by Lyons, James, Biswas, Neela, Sharma, Alok, Dehzangi, Abdollah, Paliwal, Kuldip K.

    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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  14. 14

    A deterministic approach to regularized linear discriminant analysis by Sharma, Alok, Paliwal, Kuldip K.

    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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  15. 15

    Dietary Phytochemicals as Neurotherapeutics for Autism Spectrum Disorder: Plausible Mechanism and Evidence by Bhandari, Ranjana, Paliwal, Jyoti K, Kuhad, Anurag

    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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  16. 16

    A noise PSD estimation algorithm using derivative-based high-pass filter in non-stationary noise conditions by Roy, Sujan Kumar, Paliwal, Kuldip K.

    “…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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  17. 17

    Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information by Paliwal, Kuldip K, Sharma, Alok, Lyons, James, Dehzangi, Abdollah

    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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  18. 18

    A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition by Sharma, Alok, Paliwal, Kuldip K, Dehzangi, Abdollah, Lyons, James, Imoto, Seiya, Miyano, Satoru

    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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  19. 19

    Bioinspired Calcium Phosphate Nanoparticles Featuring as Efficient Carrier and Prompter for Macrophage Intervention in Experimental Leishmaniasis by Chaurasia, Mohini, Singh, Pankaj K., Jaiswal, Anil K., Kumar, Animesh, Pawar, Vivek K., Dube, Anuradha, Paliwal, Sarvesh K., Chourasia, Manish K.

    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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