The a priori SDR Estimation Techniques with Reduced Speech Distortion for Acoustic Echo and Noise Suppression

2009 ◽  
Vol E92-B (10) ◽  
pp. 3022-3033 ◽  
Author(s):  
Rattapol THOONSAENGNGAM ◽  
Nisachon TANGSANGIUMVISAI
Keyword(s):  
Noise Suppression ◽  
A Priori ◽  
Estimation Techniques ◽  
Speech Distortion ◽  
Acoustic Echo

scholarly journals Multi-TALK: Multi-Microphone Cross-Tower Network for Jointly Suppressing Acoustic Echo and Background Noise

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6493
Author(s):  
Song-Kyu Park ◽  
Joon-Hyuk Chang
Keyword(s):  
Background Noise ◽  
Spatial Information ◽  
Attention Mechanism ◽  
Convolution Operation ◽  
Speech Distortion ◽  
Acoustic Echo ◽  
Latent Features ◽  
The Cross

In this paper, we propose a multi-channel cross-tower with attention mechanisms in latent domain network (Multi-TALK) that suppresses both the acoustic echo and background noise. The proposed approach consists of the cross-tower network, a parallel encoder with an auxiliary encoder, and a decoder. For the multi-channel processing, a parallel encoder is used to extract latent features of each microphone, and the latent features including the spatial information are compressed by a 1D convolution operation. In addition, the latent features of the far-end are extracted by the auxiliary encoder, and they are effectively provided to the cross-tower network by using the attention mechanism. The cross tower network iteratively estimates the latent features of acoustic echo and background noise in each tower. To improve the performance at each iteration, the outputs of each tower are transmitted as the input for the next iteration of the neighboring tower. Before passing through the decoder, to estimate the near-end speech, attention mechanisms are further applied to remove the estimated acoustic echo and background noise from the compressed mixture to prevent speech distortion by over-suppression. Compared to the conventional algorithms, the proposed algorithm effectively suppresses the acoustic echo and background noise and significantly lowers the speech distortion.

A Higher Intelligibility Speech-Enhancement Algorithm

2013 ◽  
Vol 321-324 ◽  
pp. 1075-1079
Author(s):  
Peng Liu ◽  
Jian Fen Ma
Keyword(s):  
Speech Enhancement ◽  
Speech Intelligibility ◽  
Minimum Mean Square Error ◽  
A Priori ◽  
Objective Evaluation ◽  
Mean Square ◽  
Magnitude Spectrum ◽  
Gain Matrix ◽  
Speech Distortion ◽  
Enhancement Algorithm

A higher intelligibility speech-enhancement algorithm based on subspace is proposed. The majority existing speech-enhancement algorithms cannot effectively improve enhanced speech intelligibility. One important reason is that they only use Minimum Mean Square Error (MMSE) to constrain speech distortion but ignore that speech distortion region differences have a significant effect on intelligibility. A priori Signal Noise Ratio (SNR) and gain matrix were used to determine the distortion region. Then the gain matrix was modified to constrain the magnitude spectrum of the amplification distortion in excess of 6.02 dB which damages intelligibility much. Both objective evaluation and subjective audition show that the proposed algorithm does improve the enhanced speech intelligibility.

scholarly journals Y2-Net FCRN for Acoustic Echo and Noise Suppression

2021 ◽  
Author(s):  
Ernst Seidel ◽  
Jan Franzen ◽  
Maximilian Strake ◽  
Tim Fingscheidt
Keyword(s):  
Noise Suppression ◽  
Acoustic Echo

Modelling disaggregated lumber demand and supply by constrained estimation techniques

1990 ◽  
Vol 20 (6) ◽  
pp. 781-789
Author(s):  
William McKillop ◽  
Gao Liu
Keyword(s):  
Quadratic Programming ◽  
A Priori ◽  
Douglas Fir ◽  
Demand Elasticity ◽  
Statistical Efficiency ◽  
Constrained Estimation ◽  
Programming Technique ◽  
Demand And Supply ◽  
Estimation Techniques ◽  
Lack Of Information

Constrained estimation techniques were used to estimate a 12-equation demand and supply system for Douglas-fir and hemlock–fir (true fir) lumber by clear and common grades. Such techniques combine sample information with nonsample information and produce estimates with smaller variances than those based only on sample data. Conventional econometric estimation was compared with a quadratic programming technique with regression coefficients constrained to their a priori correct signs. A goal programming technique that minimized the sum of the absolute deviations was rejected because of its substantially different results and lack of information on the statistical properties of its estimates. The quadratic programming technique had the advantages of statistical efficiency, objectivity, and speed. The conventional estimation technique excluded fewer variables from the system and thus was less susceptible to omission of variables bias. Elasticity estimates for most key variables were similar. Quadratic programming versus conventional estimates of demand elasticity were, respectively, −0.95 and −0.88 for Douglas-fir clears, −2.83 and −2.91 for Douglas-fir commons, and −2.13 and −2.27 for all Douglas-fir; whereas supply elasticities for hemlock–fir commons were 1.35 and 1.37, and for all hemlock–fir, −1.76 and −1.42.

scholarly journals Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Liviu-Teodor Chira ◽  
Corneliu Rusu ◽  
Clovis Tauber ◽  
Jean-Marc Girault
Keyword(s):  
Greedy Algorithm ◽  
Noise Suppression ◽  
Blind Deconvolution ◽  
State Of The Art ◽  
A Priori ◽  
Speckle Noise ◽  
Ultrasound Technique ◽  
Spread Function ◽  
Laplacian Distribution ◽  
Blurring Effect

The blind deconvolution of ultrasound sequences in medical ultrasound technique is still a major problem despite the efforts made. This paper presents a blind noninverse deconvolution algorithm to eliminate the blurring effect, using the envelope of the acquired radio-frequency sequences anda prioriLaplacian distribution for deconvolved signal. The algorithm is executed in two steps. Firstly, the point spread function is automatically estimated from the measured data. Secondly, the data are reconstructed in a nonblind way using proposed algorithm. The algorithm is a nonlinear blind deconvolution which works as a greedy algorithm. The results on simulated signals and real images are compared with different state of the art methods deconvolution. Our method shows good results for scatters detection, speckle noise suppression, and execution time.

scholarly journals Characteristics Analysis of Joint Acoustic Echo and Noise Suppression in Periodic Drillstring Waveguide

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Li Cheng ◽  
Chang Jinfeng ◽  
Liu Zhao ◽  
Fan Shangchun ◽  
Ding Tianhuai
Keyword(s):  
Performance Optimization ◽  
Acoustic Waves ◽  
Noise Suppression ◽  
Spectral Structure ◽  
Transmission Performance ◽  
Echo Canceller ◽  
Acoustic Insulation ◽  
Acoustic Echo ◽  
Characteristics Analysis ◽  
The One

A new method of wireless data telemetry used by oil industry uses compressional acoustic waves to transmit downhole information from the bottom hole to the surface. Unfortunately, acoustic echoes and drilling vibration noises in periodic drillstring are a major issue in transmission performance. A combined acoustic echo and noise suppression method based on wave motion characteristic in drillstring is adopted to enhance an upward-going transmitted acoustic signal. The presented scheme consists of a primary acoustic echo canceller using an array of two accelerometers for dealing with the downward-going noises and a secondary acoustic insulation structure for restraining the upward-going vibration noises. Furthermore, the secondary acoustic insulation structure exhibits a banded and dispersive spectral structure because of periodic groove configuration. By using a finite-differential algorithm for the one-dimensional propagation of longitudinal waves, acoustic receiving characteristics of transmitted signals are simulated with additive Gaussian noise in a periodic pipe structure of limited length to investigate the effects on transmission performance optimization. The results reveal that the proposed scheme can achieve a much lower error bit ratio over a specified acoustic isolation frequency range with a 30–40 dB reduction in the average noise level compared to traditional single-receiver scheme.

Integrated acoustic echo and noise suppression in modulation domain

2016 ◽  
Vol 19 (3) ◽  
pp. 611-621 ◽  
Author(s):  
E. P. Jayakumar ◽  
P. V. Muhammed Shifas ◽  
P. S. Sathidevi
Keyword(s):  
Noise Suppression ◽  
Acoustic Echo ◽  
Modulation Domain
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