MMSE-based speech enhancement
Model-Based Speech Enhancement in the Modulation Domain
... for speech amplitude estimation, most existing estimators do not incorporate temporal constraints on the spectral amplitudes of speech and noise into the derivation of the ...in speech processing ...
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Model-Based Speech Enhancement
... with speech energy the first two to three harmonics are completely masked by the low frequency ...or speech and in some cases speech energy is completely missing from the estimated features where ...
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Speech Enhancement using Laplacian Mixture Model under Signal Presence Uncertainty
... the enhancement of noisy speech for digital voice communications, human-machine interfaces, automatic speech recognition systems and many other ...for speech enhancement, such as the ...
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A priori SNR estimation and noise estimation for speech enhancement
... in speech enhancement, which can usually be obtained through many approaches such as voice activity detection (VAD), minimum statistics (MS), and ...distinguish speech from non-speech. In ...
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MMSE based Noise Tracking and Echo Cancellation of Speech Signals
... and speech recognition the reverberate patterns imposed by the environment are seen as ...public speech are Noise, Acoustic Echo etc. The MMSE estimator is one of the algorithms proposed for removal ...
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Speech Compression for Better Audibility using Wavelet Transformation with Adaptive Kalman Filtering
... is based on minimum mean square error-short time spectral amplitude (MMSE-STSA) is proposed to cancel background noise in whispered ...whispered speech, the algorithm can track the change of ...
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Speech Enhancement using Beta-order MMSE Spectral Amplitude Estimator with Laplacian Prior
... of speech processing applications, noise reduction is becoming an essential pre- processing component to improve system ...of speech enhancement is to reduce the corrupting noise component from a ...
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A Block-Based Linear MMSE Noise Reduction with a High Temporal Resolution Modeling of the Speech Excitation
... of speech enhancement methods, the sig- nal subspace approach, implicitly exploits part of the inter- frequency correlation by allowing the frequency domain signal covariance matrix to be ...domain ...
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Speech Signal Enhancement for Babble Noise Using Optimization Algorithm
... In speech signal enhancement the types of distortions can be divided into two ...the speech signal itself and 2) the distortions that affect the background ...the speech distortion when making ...
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Speech enhancement based on Bayesian decision and spectral amplitude estimation
... the enhancement performance of the MMSE method ...the speech pres- ence uncertainty with the LSA estimator [6], the optimal modified log-spectral amplitude (OM-LSA) estimator [8] was ...These ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... of speech enhancement is to improve the naturalness and perceptual quality for the proposed speech signal in order to reduce the fatigue of human ...proposed speech for listeners or to ...
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Speech enhancement methods based on binaural cue coding
... DNN- based IRM method [23] is considered as the third reference method (named as ...and speech presence probability (SPP) to obtain spectral gain of ...codebook- based technique, the pre-processed ...
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Linking speech enhancement and error concealment based on recursive MMSE estimation
... by speech signals, it can generally be said that it is not fulfilled perfectly in practice by noise ...with speech estimators based on a non-Gaussian assumption for the noise, ...
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Speech Enhancement Using Rasta And LPC
... codebook based STP parameter is estimated by the Kalman ...filter speech enhancement perspective requires the AR signal ...The MMSE estimation parameter is also using codebook based ...
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Efficient β -order Perceptually Motivated Spectral Amplitude Bayesian Estimator Based On Chidistribution for Speech Enhancement
... channel speech enhancement algorithms, the statistical model-based enhancement techniques have recently received much ...of speech to deduce the spectral weighting function, made use of ...
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Speech Enhancement based on Savitzky–Golay Smoothing Filter
... efficient speech enhancement algorithm that uses Laplacian – Gaussian ...degraded speech signal is first de-correlated and the clean speech components are estimated from the de- correlated ...
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Robust Bayesian estimation for context-based speech enhancement
... Single-channel speech enhancement has been a chal- lenging research problem for the last four ...clean speech magnitude ...Methods based on a sta- tistical model of speech to estimate ...
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Robust Speech Recognition Using Perceptual Wavelet Denoising and Mel-frequency Product Spectrum Cepstral Coefficient Features
... The decomposition tree structure of PWPT is designed to approximate the critical bands (CB) as close as possible in order to efficiently match the psychoacoustic model [12] [13]. Hence, the size of PWPT decomposition ...
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Spectral Restoration Based Speech Enhancement for Robust Speaker Identification
... Vector quantization (VQ) is a lossy compression method based on the block coding theory [20]. The purpose of VQ in speaker recognition systems is to create a classification system for every speaker and a large set ...
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SPEECH ENHANCEMENT TECHNIQUES
... decision directed (DD) approach is used to estimate a priori SNR, a key parameter, resulted in better performance, both in terms of intelligibility and reduced musical noise. However, the estimated a priori SNR of the ...
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