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Time-frequency constraints for phase estimation in single-channel speech enhancement

Time-frequency constraints for phase estimation in single-ch...

引用

International Workshop on Acoustic Signal Enhancement (IWAENC)

作者： Pejman Mowlaee Rahim Saeidi Signal Processing and Speech Communication Lab Graz University of Technology Austria Speech and Image Processing Unit University of Eastern Finland Finland

Previous single-channel speech enhancement algorithms often employ noisy phase while reconstructing the enhanced signal. In this paper, we propose novel phase estimation methods by employing several temporal and spectral constraints imposed on the phase spectrum of speech signal. We pose the phase estimation problem as estimating the unknown clean speech phase at sinusoids observed in additive noise. To resolve the ambiguity in phase estimation problem, we introduce individual time-frequency constraints: group delay deviation, instantaneous frequency deviation, and relative phase shift. Through extensive simulations, the effectiveness of the proposed phase estimation methods in single-channel speech enhancement is demonstrated. Employing the estimated phase for signal reconstruction in medium-to-high SNRs leads to consistent improvement in perceived quality compared to when noisy phase is used.

关键词： Speech Noise measurement Time-frequency analysis Phase estimation Noise Speech enhancement Frequency estimation

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Deep neural network and switching Kalman filter based continuous affect recognition

Deep neural network and switching Kalman filter based contin...

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2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016

作者： Pei, Ercheng Xia, Xiaohan Le, Yang Dongmei, Jiang Sahli, Hichem United States NPU-VUB Joint AVSP Lab Shaanxi Key Lab on Speech and Image Information Processing Xi'an710072 China Pleinlaan 2 Brussels1050 Belgium Interuniversity Microelectronics Centre Kepeldreef 75 Heverlee3001 Belgium

ISBN: (纸本)9781509015528

In this paper, we propose the deep neural network - switching Kalman filter (DNN-SKF) based frameworks for both single modal and multi-modal continuous affective dimension estimation. The DNN-SKF framework firstly models the complex nonlinear relationship between the input (audio, visual, or lexical) features and the affective dimensions via the non-recurrent DNN, then models the temporal dynamics embedded in the emotions via the segmental linear SKF. Affective dimension estimation experiments are carried out on the Audio Visual Emotion Challenge (AVEC2012) database. Single modal estimation results are compared to those from the Support Vector Regression (SVR) models and Bidirectional Long Short-Term Memory Recurrent Neural Network (BLSTM-RNN) models, results show that for all modalities, and for all affective dimensions except for arousal from the audio features, the DNN-SKFs outperform SVR and BLSTM-RNN models in estimating the affective dimensions. Multi-modal estimation results are compared with the state of the art results on the competition of AVEC2012. Results show that both on the development set and test set, the proposed DNN-SKF models obtain the best performance in estimating the affective dimensions. On the test set, with the audio visual features, the average Pearson correlation coefficient (COR) is improved to 0.326 from 0.226 of the linear regression method [1], while with the audio visual and lexical features, the COR is improved to 0.355 from 0.344 of the particle filter fusion method (SVR-PF) [2]. © 2016 IEEE.

关键词： Kalman filters

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Solving TSP by dismantling cross paths

Solving TSP by dismantling cross paths

引用

IEEE International Conference on Orange Technologies (ICOT)

作者： Yongsheng Pan Yong Xia Shaanxi Key Lab of Speech & Image Information Processing (SAIIP) Northwestern Polytechnical University Xi'an

ISBN: (纸本)9781479962853

Traveling salesman Problem (TSP) is a classical NP-hard problem and has been extensively studied in literature. Eliminating the cross paths, which commonly exist in approximate solutions to large scale TSP, can effectively improve the quality of the solutions. Through studying the impact of cross paths on the cost of a loop, in this paper we develop a method to detect and dismantle cross paths, and thus propose a novel greedy algorithm-based approach to the TSP. This approach has been evaluated on ten TSP data sets and compared to three classical optimization techniques, including the elastic network, ant colony algorithm and genetic algorithm. Our results show that the proposed approach can get approximate solution of high quality with far less computational cost and has an excellent performance in solving large-scale TSP.

关键词： Optimization Genetic algorithms Approximation algorithms Greedy algorithms Computers Educational institutions Traveling salesman problems

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THz Spectrum Deconvolution with Total Variation Regularization

THz Spectrum Deconvolution with Total Variation Regularizati...

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International Congress on image and Signal processing

作者： Lizhen Deng Hu Zhu Guanming Lu State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China Jiangsu Province Key Lab on Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781479927654

Deconvolution has become one of the most used methods for improving spectral resolution, and blind deconvolution as a typical method has been researched widely. However, the predefined point spread function (PSF) used in blind deconvolution method is not known exactly in practice. In general, the PSF is estimated simultaneously from the observed spectrum, but it becomes difficult when the spectroscopic data are polluted by strong noise. In this paper, we present a deconvolution method used to improve the resolution of THz spectrum. In the method, the energy function is constructed, which includes the likelihood term, Total variation of spectrum term and L2 norm of the PSF term. The PSF is modeled as a parametric function combination with the a priori knowledge about the characteristics of the instrumental response. The spectrum and the parameter of PSF are obtained by minimizing the energy functional using alternate minimization approach. Experimental results are shown to demonstrate the efficiency of the proposed method used for THz spectrum.

关键词： THz spectrum Total variation deconvolution alternate minimization approach

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Visual Attention Data for image Quality Assessment Databases

Visual Attention Data for Image Quality Assessment Databases

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IEEE International Symposium on Circuits and Systems

作者： Xiongkuo Min Guangtao Zhai Zhongpai Gao Ke Gu Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmissions

ISBN: (纸本)9781479934331

images usually contain areas that particularly attract people's attention and visual attention is an important feature of human visual system (HVS). Visual attention had been shown to be effective in improving performance of existing image quality assessment (IQA) metrics. However, with the quick advancement of IQA research, the booming of open IQA databases calls for associated comprehensive and accurate visual attention dataset. Despite of the large number of existing computational attention/saliency models, the most accurate measure of human attention is still human based. In this research, we first conduct extensive eye tracking experiments for all the pristine images from the seven widely used IQA databases (LIVE, TID2008, CSIQ, Toyama, LIVE Multiply Distortion, IVC and A57 databases). Then we propose a gaze-duration adaptive weighting approach to generate saliency maps from the eye tracking data. When applied on the IQA databases, experimental results suggest that accuracy of benchmark quality metrics, e.g. PSNR and SSIM can be systematically improved, outperforming existing saliency datasets. Both the eye tracking data and the saliency maps in this research will be made publicly available at ***.

关键词： important HVS IQA

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Error concealment for stereoscopic images using mode selection

Error concealment for stereoscopic images using mode selecti...

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IEEE International Symposium on Intelligent Signal processing and communication Systems (ISPACS)

作者： Lijuan Song Xiuchang Zhu State Grid Electric Power Research Institute Nanjing China Jiangsu Province Key Laboratory on Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China

In this paper, a novel error concealment (EC) method for compressed stereoscopic image pairs is presented, which contains a new binocular EC mode and an improved monocular EC mode. The proposed algorithm selects appropriate EC mode to conceal the error block (EB) in the stereoscopic image according to the local characteristic of the EB. The experimental results demonstrate that the proposed scheme has good subjective and objective EC performance in stereoscopic images as compared to monocular mode.

关键词： PSNR Particle measurements Atmospheric measurements Visualization

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3D Gaze Estimation Based on Facial Feature Tracking

3D Gaze Estimation Based on Facial Feature Tracking

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Man Yi Zhao Xinbo Zhang Ke Shaanxi Provincial Key Lab.of Speech & Image Information Processing Northwestern Polytechnical University

ISBN: (纸本)9781612848334

A 3D gaze estimation and tracking algorithm based on facial feature tracking is presented in this ***,we used the Active Shape Model(ASM) to extract facial feature points with a stereo ***,the full 3D pose of head is estimated by comparing the feature points of current pose with initial head *** that,the center of eyeball is obtained based on a 3D eye model which is related to head pose and the middle point of eye ***,optical axis was computed as 3D vectors through the center of eyeball to the center of ***,visual axis was gotten by adding an angle to optical ***,in our system,a one-time personal calibration is used to determine this *** experimental results show the accuracy of our gaze tracking system achieves less than 3 degree.

关键词： gaze tracking gaze estimation head pose facial feature tracking stereo cameras

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An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals

An Investigation on Mutual Information for the Linear Predic...

引用

Speech communication;10. ITG Symposium

作者： Jalal Taghia Rainer Martin Jalil Taghia Arne Leijon Institute of Communication Acoustics Ruhr-Universitat Bochum Sound and Image Processing Lab KTH Royal Institute of Technology

ISBN: (纸本)9783800734559

Mutual information (MI) is an important information theoretic concept which has many applications in telecommunications, in blind source separation, and in machine learning. More recently, it has been also employed for the instrumental assessment of speech intelligibility where traditionally correlation based measures are used. In this paper, we address the difference between MI and correlation from the viewpoint of discovering dependencies between variables in the context of speech signals. We perform our investigation by considering the linear predictive approximation and the extrapolation of speech signals as examples. We compare a parametric MI estimation approach based on a Gaussian mixture model (GMM) with the knearest neighbor (KNN) approach which is a well-known non-parametric method available to estimate the MI. We show that the GMM-based MI estimator leads to more consistent results.

关键词： Speech Correlation Extrapolation Mutual information Estimation Speech processing Probability distribution

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Modelling of random extra pulses during quasi-closed glottal cycle phases 10

Modelling of random extra pulses during quasi-closed glottal...

引用

10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2017

作者： Aichinger, P. Roesner, I. Schoentgen, J. Pernkopf, F. Department of Otorhinolaryngology Division of Phoniatrics-Logopedics Medical University of Vienna Austria F.N.R.S. Université Libre de Bruxelles Laboratories of Image Signal Processing and Acoustics Faculty of Applied Sciences Brussels Belgium Signal Processing and Speech Communication Lab Graz University of Technology Austria

ISBN: (纸本)9788864536064

The presence of random extra pulses during quasi-closed glottal cycle phases may constitute a distinct voice quality type relevant to the clinical care of disordered voices. In this paper, we propose for this voice type a glottal area waveform model that includes automatic parameter estimation. The model involves (1) extraction of the fundamental frequency, (2) estimation of the cyclic pulse times, heights and shapes, (3) Fourier synthesis of a cyclic pulse train model, (4) closed phases estimation via fitting an inverted parabola to the averaged pulse shape, (5) estimation of the random extra pulses’ positions and shapes, and (6) pulse shape filtering based synthesis of the random extra pulses. For a typical voice sample, the root mean square error energy level of the purely cyclic model = -13.2 dB, which improves by 1.5 dB when extra pulses are added to the model. © Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA *** right reserved.

关键词： Mean square error

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Top-down saliency by multi-scale contextual pooling

Top-down saliency by multi-scale contextual pooling

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13th Pacific-Rim Conference on Multimedia, PCM 2012

作者： Qiu, Yuanyuan Zhu, Jun Zhang, Rui Huang, Jun Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiao Tong University Shanghai China Shanghai Advanced Research Institute Chinese Academy of Sciences China

ISBN: (纸本)9783642347771

Goal-driven top-down mechanism plays an important role in the case of object detection and recognition. In this paper, we propose a top-down computational model for goal-driven saliency detection based on a coding-based classification framework. It consists of four successive steps: feature extraction, descriptor coding, local pooling and saliency prediction. In the step of local pooling, we investigate the effect of multi-scale contextual information for saliency detection and find that there exists an optimal contextual scale to achieve the patch-level feature presentation. On basis of this observation, we propose an approach for automatic scale selection in saliency prediction step. The experimental results demonstrate that our method can effectively improve the performance of goal-driven saliency detection as well as related object detection. © 2012 Springer-Verlag.

关键词： Object detection

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