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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...
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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...
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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...
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Chapter and Conference Paper
Speech Recognition Using Spectrogram-Based Visual Features
Recent advancements in audio-visual speech recognition (AVSR) have established the importance of incorporating visual components in the process of speech recognition for improving robustness. Visual features p...
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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...
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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...
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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...
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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...
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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. ...
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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...
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Chapter and Conference Paper
Trimmed Median Filter for Removal of Noise from Medical Image
Medical images are very sensitive in nature. During transmission, noise may be added to the image which affects the performance of the system. Generally, images are affected by speckle, Gaussian, and impulse n...
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Chapter and Conference Paper
Speech-Based Access to Price of Different Agricultural Commodities Using MFCC, GMM, and Naïve Bayes Classifier
India is primarily an agricultural country where more than 60% of the population is directly or indirectly dependent on farming for their daily livelihood. In recent past, farmer’s suicide from various regions...
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Chapter and Conference Paper
Robust Voiceprint Based Audio Watermarking Using Wavelet Transform
The audio system of the humans is more complicated and not easy to analyze or understand than the visual systems of the humans. Due to this, various effective watermarking algorithms have been implemented and ...
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Chapter and Conference Paper
Effect of Processing Combined MFCC and DSCC Features with QCN for Hindi Vowel Classification in Noisy Environments
This paper comes up with “Hybridized Delta Spectral Cepstral Coefficients” or HDSCC features. The HDSCC feature is obtained by processing concatenated Mel Filter Cepstral Coefficients and Delta Spectral Cepstr...
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Chapter and Conference Paper
FPGA Implementation of Adaptive Filtering Algorithms for Noise Cancellation—A Technical Survey
In an environment where noise is our constant companion, quality of speech signal degrades considerably. Over a period of time, researchers have developed and implemented many algorithms to enhance the quality...
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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...
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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...
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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...
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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...
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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...