noisy speech
Recognition of Noisy Speech: Using Minimum Mean Log Spectral Distance Estimation
... Recognition of Noisy Speech Using Minimum Mean Log Spectral Distance Estimation Recognition of Noisy Speech Using Minimum Mean Log Spectral Distance Estimation A Ere11 and M Weintraub SRI Internationa[.] ...
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Noise-Reduced Complex LPC Analysis for Formant Estimation of Noisy Speech
... Abstract — In this paper we present a complex linear prediction analysis method for estimating the formant frequencies of noisy speech. The proposed method effectively utilizes the signal (being the ...
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Recognition of Nonprototypical Emotions in Reverberated and Noisy Speech by Nonnegative Matrix Factorization
... the noisy data, which could be done because neither multicondition training was followed nor were models trained on clean data tested in noisy conditions, due to restrictions of the proposed classifier ...
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Reverberation suppression using AdaBoost based EMD in Noisy speech
... The numerical examples considered in this paper for reverberation suppression in noisy speech are a clean signal which is a wave file with Reverberation times (RT60) as 1, 2 and 3 seconds. The noise signal ...
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Speech Enhancement Based on Spectral Subtraction Involving Magnitude and Phase Components
... from noisy speech ...(2) speech signal and noise are uncorrelated (3) one channel is ...corrupted speech with spectral subtraction ...real speech data by computer simulation in MATLAB ...
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SURVEY ON INFORMATION EXTRACTION FROM CHEMICAL COMPOUND LITERATURES: TECHNIQUES AND CHALLENGES
... This paper presents robust feature extraction techniques, called Mel Power Karhunen Loeve Transform Coefficients (MPKC), Mel Power Coefficients (MPC) for an isolated digit recognition. This hybrid method involves ...
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Speech intelligibility improvement in noisy reverberant environments based on speech enhancement and inverse filtering
... the speech intelligibility and to compare the differences in speech intelligibility before and after using the ...the noisy speech in ...lost speech information over 2000 Hz. In Fig. ...
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Adaptive Weiner Filter for Speech Enhancement Under Various Noisy Conditions
... of noisy speech are taken from ...from noisy speech. Modification of Noisy speech magnitude is calculated using Decision Directed (DD), Two Step Noise Reduction (TSNR), and ...
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Noise Estimation of Speech Signal using Adaptive Sub -spectral System
... of speech enhancement systems use some variation on the frequency domain analysis techniques [1, ...transforming noisy speech to the frequency domain using the Discrete Fourier transform (or Fast ...
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PERFORMANCE ANALYSIS OF DUAL CHANNEL SPEECH ENHANCEMENT METHOD WITH DCT AND HADAMARD TRANSFORMS USING NORMALIZED LATTICE RECURSIVE LEAST SQUARE ALGORITHM
... the speech enhancement technique will ...the noisy speech signal that is to be processed and the other channel consists of the reference clear speech ...input noisy speech signal ...
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SPEECH ENHANCEMENT USING PITCH DETECTION APPROACH FOR NOISY ENVIRONMENT
... outstandingly speech recognition ...the noisy speech signal to increase the signal intelligibility and to reduce the listener ...the speech signal when the additive noise cannot be directly ...
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Speech Enhancement in Noisy Environment using Kalman Filter
... is speech enhancement using Kalman ...different noisy files and producing appropriate outputs respectively the signal that is used in this work is taken from the Noizous database ...clean speech used ...
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Speech Enhancement Using Gaussian Mixture Models, Explicit Bayesian Estimation and Wiener Filtering
... Abstract: Gaussian Mixture Models (GMMs) of power spectral densities of speech and noise are used with explicit Bayesian estimations in Wiener filtering of noisy speech. No assumption is made about ...
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Speech Enhancement using Laplacian Mixture Model under Signal Presence Uncertainty
... of noisy speech for digital voice communications, human-machine interfaces, automatic speech recognition systems and many other ...for speech enhancement, such as the spectral subtraction[1, ...
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Denoising in the Domain of Spectrotemporal Modulations
... the noisy speech representation results in denoised representa- tion which is then used to reconstruct the spectrogram of the cleaned speech signal using the inverse cortical transforma- tion (Figure ...
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Speech enhancement methods based on binaural cue coding
... and speech presence probability (SPP) to obtain spectral gain of ...The speech signal was down-sampled to 8 ...240 noisy speech signals composed of 40 clean speech signals from the ...
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Noise Reduction from the speech signal using WP coefficients and Modified Thresholding
... thresholding speech enhancement system is used, which uses the Super-Soft thresholding algorithm to improve the noisy speech using wavelet coefficients in a way that avoids sharp time-frequency ...
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MMSE based Noise Tracking and Echo Cancellation of Speech Signals
... A different and simple approach to recursive averaging noise estimation is defined by the fact that each spectral component is having a different effective SNR. Consequently, estimation and update of individual frequency ...
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Design of Optimal Wavelet for Reduction of Noise in Speech
... from speech have been ...from speech is the spectral subtraction method[2], in this technique there is direct approximation of the short term spectral ...
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Detecting Speech Repairs Incrementally Using a Noisy Channel Approach
... We have demonstrated an incremental model for finding speech disfluencies in spoken lan- guage transcripts. When we consider com- plete utterances, the incremental model pro- vides identical results to those of a ...
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