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  1. No Access

    Article

    Effect of background Indian music on performance of speech recognition models for Hindi databases

    Multimedia content analysis has shown great interest over the past few decades. One of the works which find great attention to the researchers is automatic speech recognition (ASR) of speech data from broadcas...

    Arvind Kumar, S. S. Solanki, Mahesh Chandra in International Journal of Speech Technology (2023)

  2. No Access

    Article

    Empirical mode decomposition based statistical features for discrimination of speech and low frequency music signal

    This work aims to investigate the significance of different Empirical Mode Decomposition (EMD) based statistical features for discrimination of speech and low frequency music signal (guitar signals) which most...

    Arvind Kumar, Mahesh Chandra in Multimedia Tools and Applications (2023)

  3. No Access

    Article

    A Novel Method for CNN Training Using Existing Color Datasets for Classifying Hand Postures in Bayer Images

    Deep learning has revolutionized the computer vision by achieving human level performance on classification and detection of the objects in the images. These algorithms are often trained using supervised learn...

    Mahesh Chandra, Brejesh Lall in SN Computer Science (2021)

  4. No Access

    Article

    Performance evaluation of psycho-acoustically motivated front-end compensator for TIMIT phone recognition

    Wavelet-based front-end processing technique has gained popularity for its noise removing capability. In this paper, a robust automatic speech recognition system is proposed by utilizing the advantages of psyc...

    Anirban Bhowmick, Astik Biswas, Mahesh Chandra in Pattern Analysis and Applications (2020)

  5. No Access

    Article

    Wavelet-Based Power Normalized Spectrum for Hindi Phoneme Classification

    This paper presents wavelet-based power normalized spectrum for computing robust cepstral features named WP-PNCC features. The proposed technique computes wavelet packet-based short-time spectrum of speech sig...

    Shipra Mishra, Mahesh Chandra in Circuits, Systems, and Signal Processing (2019)

  6. No Access

    Article

    Detection and monitoring of subclinical ocular siderosis using multifocal electroretinogram

    Although full-field electroretinogram (ffERG) is the gold standard test to detect physiological dysfunction in siderosis, it measures overall retinal function. This study aims to determine if multifocal electr...

    Pranita Sahay, Devesh Kumawat, Shikha Gupta, Koushik Tripathy, Rajpal Vohra in Eye (2019)

  7. No Access

    Article

    Speaker identification and its application in automobile industry for automatic seat adjustment

    In this paper, an application of speaker identification in automobile industry is proposed. The work is divided into two main categories. The first part deals with the task of speaker identification where a sy...

    Sumit Srivastava, Mahesh Chandra, G. Sahoo in Microsystem Technologies (2019)

  8. No Access

    Article

    Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor

    In this paper, the real-time adaptive noise canceller (ANC) system is implemented using modified sigmoid function variation based recursive least square with variable forgetting factor (MSFRLS-VFF) algorithm. ...

    Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra in Wireless Personal Communications (2019)

  9. No Access

    Article

    New optimal variable step size-adaptive regularized-affine projection algorithm

    In this paper, a new optimal variable step size-adaptive regularized-affine projection algorithm (OVSS-AR-APA) is proposed and compared with existing variable step size APA family of algorithms. Instead of hav...

    Deepak Kumar Gupta, Vijay Kumar Gupta in International Journal of Speech Technology (2019)

  10. No Access

    Article

    VLSI implementations of retimed high speed adaptive filter structures for speech enhancement

    This paper presents FPGA implementation of retimed high speed adaptive filter structures for speech enhancement. In this work, various high speed adaptive filtering structures for noise cancellation are implem...

    Pankaj Goel, Mahesh Chandra in Microsystem Technologies (2018)

  11. No Access

    Article

    Real-Time Implementation of Parallel Architecture Based Noise Minimization from Speech Signals on FPGA

    In recent years, the real time hardware implementation of LMS based adaptive noise cancellation on FPGA is becoming popular. There are several works reported in this area in the literature. However, NLMS based...

    Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra in Wireless Personal Communications (2018)

  12. No Access

    Article

    A New Hybrid Active Noise Control System with Convex Combination of Time and Frequency Domain Filtered-X LMS Algorithms

    A conventional single-channel feedforward active noise control (ANC) system encounters noise from multiple sources. In many cases, there is a reference signal that is independently available which is correlate...

    Trideba Padhi, Mahesh Chandra, Asutosh Kar in Circuits, Systems, and Signal Processing (2018)

  13. No Access

    Article

    An efficient video watermarking based security model

    Watermarking is defined as about hiding any valuable information set in the particular digital media by itself through modifying the particular graphic contents. In our proposed method, the process of watermar...

    Garima Gupta, V. K. Gupta, Mahesh Chandra in Microsystem Technologies (2018)

  14. No Access

    Article

    Guitar tuner using cepstral analysis and fuzzy controller on arduino board

    Cepstral analysis and fuzzy controller is used to design an automatic guitar tuner on Arduino micro-controller. Signals from an acoustic guitar are fed into a system running MATLAB. Fundamental frequency of th...

    Arvind Kumar, Sumit Srivastava, Mahesh Chandra, G. Sahoo in Microsystem Technologies (2018)

  15. No Access

    Article

    Speech enhancement using Teager energy operated ERB-like perceptual wavelet packet decomposition

    In recent past, wavelet packet (WP) based speech enhancement techniques have been gaining popularity due to their inherent nature of noise minimization. WP based techniques appeared as more robust and efficien...

    Anirban Bhowmick, Mahesh Chandra in International Journal of Speech Technology (2017)

  16. Article

    Open Access

    Clinical implications of microbial biofilms in chronic rhinosinusitis and orbital cellulitis

    Discovery of sessile mode of microbial existence (Biofilm state) focussed much interest, during the recent years, on the study of biofilms in many recurring and chronic infections. However, the exact role of m...

    Niranjan Nayak, Gita Satpathy, Sujata Prasad, Alok Thakar in BMC Ophthalmology (2016)

  17. No Access

    Article

    Growth and volatile phenol production by Brettanomyces bruxellensis in different grapevine varieties during fermentation and in finished wine

    Three red grapevine varieties, Touriga Nacional, Syrah and Cabernet Sauvignon, were evaluated for their susceptibility to spoilage by two strains of Brettanomyces bruxellensis during grape juice fermentation and ...

    Mahesh Chandra, Inês Madeira, Ana-Rute Coutinho in European Food Research and Technology (2016)

  18. No Access

    Article

    Efficient feature combination techniques for emotional speech classification

    The challenge to enhance the naturalness and efficiency of spoken language man–machine interface, emotional speech identification and its classification has been a predominant research area. The reliability an...

    Hemanta Kumar Palo, Mihir Narayan Mohanty in International Journal of Speech Technology (2016)

  19. No Access

    Article

    Multiple cameras audio visual speech recognition using active appearance model visual features in car environment

    Consideration of visual speech features along with traditional acoustic features have shown decent performance in uncontrolled auditory environment. However, most of the existing audio-visual speech recognitio...

    Astik Biswas, P. K. Sahu, Mahesh Chandra in International Journal of Speech Technology (2016)

  20. No Access

    Article

    Feature extraction technique using ERB like wavelet sub-band periodic and aperiodic decomposition for TIMIT phoneme recognition

    In the recent years, wavelet transform has been found to be an effective tool for the time–frequency analysis for non-stationary and quasi-stationary signals such as speech signals. In the recent past, wavelet...

    Astik Biswas, P. K. Sahu, Anirban Bhowmick in International Journal of Speech Technology (2014)

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