noise-corrupted speech signals
A Hybrid Approach for Speech Signal Denoising using ICA-DWT
... is noise cancellation in speech signal corrupted by industrial ...for speech signal ...non-Gaussian signals and that they are all statistically independent of each ...to noise ...
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A non intrusive method for estimating binaural speech intelligibility from noise corrupted signals captured by a pair of microphones
... human speech perception in ...separate speech and masker signals, strictly speaking the glimpsing model is not a non-in- trusive ...listeners’ speech reception threshold (SRT) when the target ...
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SPEECH INTELLIGIBILITY PREDICTION AND NEAR END LISTENING ENHANCEMENT FOR MOBILE APPLICIATION
... was corrupted by 8 different real time noises at various levels of SNR at the input level to the Mobile Speakers Noise signals from the AURORA database is taken as input, also including the ...
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Noise Reduction in Speech Signals Using Discrete-time Kalman Filters Combined with Wavelet Transforms
... Yu Shao-and Chip-Hong Chang [21] used a Kalman filter based on a wavelet filter bank for the enrichment of speech signals corrupted by noise. The adaptation of this filter in the Wavelet ...
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Noise Suppression in Speech Signals Using Kalman Filtering
... the speech enhancement, when a corrupted speech signal with an additive noise is the only information available for ...effective speech enhancement technique in which speech ...
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Noise Estimation of Non Stationary Voiced Speech Using Chirp Model
... character, speech frequency varies from 3 KHz to 4 KHz. Noise shrinking algorithm aims to improve the performance of the communication system where signals are corrupted by ...noise. ...
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Speech Enhancement via EMD
... for speech signal noise reduction based on the empirical mode decomposition (EMD) recently introduced by Huang et ...for noise reduction are proposed: filtering and ...to signals ...
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A non-intrusive method for estimating binaural speech intelligibility from noise-corrupted signals captured by a pair of microphones
... clean speech signal; (b): spectrogram of the SMN signal; (c): spectrogram of the speech-plus-noise mixture; (d): glimpses calculated from the direct known speech and masker signals; ...
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Experimental Observations of Ideal Binary Mask for CASA based Systems
... Babble noise: Babble means to talk without a particular ...background noise is present by talking of them ...babble noise. Babble noise will be overlapping on the speech ...recognize ...
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Speech Enhancement with Reduction of Noise Components in the Wavelet Transforms
... scales. Speech enhancement is closely related to speech restoration to the original speech signal often leads to speech ...ideal speech signal is degraded and the objective is to make ...
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Fuzzy Approach for Restoring Color Images Corrupted with Additive Noise
... random noise. Noise can occur during image capture, transmission or processing, and may be dependent on or independent of image ...content. Noise is usually described by its probabilistic ...Gaussian ...
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Analysis of Speech Signals
... the speech signal. For the purpose of elaborated speech analysis, we have collected voices of children and adults of age varying from 4 years to 20 ...the speech samples were extracted which were ...
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VLSI Architecture for Impulse noise Removal using Modified Conditional Median Filter
... are corrupted by impulse ....Impulse noise can be classified in to two categories according to the distribution of noisy pixel values They are fixed valued impulse noise also known as salt-and-pepper ...
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A Histogram based Algorithm for Denoising Images Corrupted with Impulse Noise
... An algorithm is designed for the histogram representation of an image, subsequent detection of Salt and Pepper (SP) noise in the image and finally the restoration of the image from this noise. The image is ...
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Improved Gaussian Filtering Model for Highly Noised Image by Salt and Pepper
... impulse noise can appear in images during acquisition, storage, or transmission which can latterly affect stage of processing image, and may not remove properly during preserving the details of effected ...pepper ...
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Impulsive noise removal from Speech Signals using Rank Order Mean Method
... in speech processing is the effect of interference noise in speech ...Interference noise masks the speech signal and reduces its ...Interference noise can come from acoustical ...
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Single-Microphone Speech Dereverberation based on Multiple-Step Linear Predictive Inverse Filtering and Spectral Subtraction
... the speech signal with the ...the speech in a way similar to reinforcing the direct-path component [1], [31], ...automatic speech recognition ...
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Speech Recognition on Temporal Bone Based Hearing Aid
... amplified speech in quiet is affected by severe to profound hearing loss in the higher frequency ...of speech and ...the speech is recognized and the patients are closer to achieve the gift of ...
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Intelligibility model optimisation approaches for speech pre-enhancement
... target speech is likely to be most beneficial when the masker itself is also modulated, since it helps to define an accurate weight for each S-T ...ORG speech (see Figure ...of speech which may ...
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ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... images corrupted by the impulse with the low noise ratio, the sizes of the corrupted pixels ...(i.e., corrupted areas) are most likely represented by isolated individual pixels or a short line ...
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