Spectral Subtraction
Spectral subtraction denoising preprocessing block to improve P300-based brain-computer interfacing
... the spectral subtraction method of- fers better results than wavelet shrinkage based denoising in most experiments with the exception of a few cases such as in the 4-channel data of Subject 2 where the 100% ...
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Title: A LPC Integrated Spectral Subtraction Model Acoustic Feedback Cancellation
... Abstract: Speech is the most adaptive communication adaptive by human as well as computer for interaction. The speech can be captured online or from distance input source devices. But these devices have the limitation to ...
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Speech Enhancement Based on Spectral Subtraction Involving Magnitude and Phase Components
... In speech enhancement, the number of noise are added into original clean speech signal. There are number of methods to remove noise signal. Telephones are increasingly being used in noisy environments such as cars, ...
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Likelihood-Maximizing-Based Multiband Spectral Subtraction for Robust Speech Recognition
... the spectral floor factor which is a small positive number assuring that the estimated spectrum will not be ...spectrum. Spectral noise estimation is sensitive to the spectral noise variation even ...
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Single Channel Speech Enhancement Using Critical Band Rate Scale Based Improved Multi Band Spectral Subtraction
... In spectral subtraction method, it is assumed that the speech signal is degraded by additive white Gaussian noise (AWGN) with flat spectrum; therefore, the noise affects the signal uniformly over the ...
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Development of spectral subtraction algorithm for enhancement of noisy speech signal of electricity generator
... Enhancing the quality and intelligibility of noisy speech signal has attracted the interest of researchers over the years. The goal has been to improve quality, intelligibility and degree of listener fatigue of the ...
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Distant-talking speaker identification by generalized spectral subtraction-based dereverberation and its efficient computation
... generalized spectral subtraction (GSS) using multi-channel least mean-squares (MCLMS) has been ...prediction-based spectral subtraction ...
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Development of AE Monitoring System with Noise Reduction Function by Spectral Subtraction
... In order to monitor acoustic emission (AE) in a noisy environment, an AE monitoring system with a real-time noise reduction function using spectral subtraction (SS) was developed. First, the improvement in ...
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Iterative spectral subtraction method for millimeter wave conducted speech enhancement
... In order to evaluate and compare the performance of the proposed enhancement algorithm, two other algorithms are performed in this study, they are: traditional spectral subtraction method and ...
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Feature Enhancement Method for Drilling Vibration Signal by Using Wavelet Packet Multi-band Spectral Subtraction
... and spectral subtraction. In some respects, spectral subtraction has a better de-noising performance than the threshold de-noising and filtering methods do [13], which avoids the difficulties ...
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Musical-Noise Analysis in Methods of Integrating Microphone Array and Spectral Subtraction Based on Higher-Order Statistics
... Copyright © 2010 Yu Takahashi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
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Power Spectral Density Error Analysis of Spectral Subtraction Type of Speech Enhancement Methods
... the spectral subtraction methods have been known and, in the literature, several ad hoc modifications of the basic algorithms have ap- ...design spectral subtraction methods that fulfill ...
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Dereverberation and denoising based on generalized spectral subtraction by multi-channel LMS algorithm using a small-scale microphone array
... power spectral subtraction (SS) using a multi-channel least mean squares algorithm was previously proposed to suppress the reverberant speech without additive ...generalized spectral ...
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Noise Removal by Spectral Subtraction & Subband Amplification for Hearing Aid By Using Matlab & Simulink
... Hearing aid is used for the persons with the hearing impairment to improve the signal quality and amplification of it so that the person can hear in this paper the noise in the speechaud[r] ...
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The Enhancement of Millimeter Wave Conduct Speech Based on Perceptual Weighting
... traditional spectral subtraction algorithm is shown in Figure 4(b), the figure shows that this method is effective in reducing the combined radar noises, both in the speech and non- speech ...
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Speech Enhancement Using an Adaptive Wiener Filtering Approach
... Speech enhancement is one of the most important topics in speech signal processing. Several techniques have been proposed for this purpose like the spectral subtraction approach, the signal subspace ...
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Title: Security System in Speech Recognition
... Here figure 7 is showing the improved speech signal after the spectral subtraction and LPC approaches. The figure is showing the input signal is enhanced so that effective speaker recognition can be ...
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Speech Enhancement based on Savitzky–Golay Smoothing Filter
... In this paper, we propose a robust speech enhancement method for speech signal corrupted by fan noise as well as AC noise which is under the category of additive white Gaussian noise. The method is based on ...
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Quality Evaluation of Speech Enhancement Algorithms for Normal and Hearing Loss Listeners
... classes: spectral subtraction class(SS), statistical model based class (minimum mean square error), subspace class(PKLT) and auditory class (ideal binary mask using STFT, ideal binary mask using gammatone ...
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APPLICATION OF WAVELET TRANSFORM FOR SPEECH PROCESSING
... thresholds are computed by extracted features of the input signal. Finally, the dynamic thresholds are used to classify the uncertain parts. The performance of the algorithm has been evaluated using a large speech ...
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