{"title":"Estimation of the number of sources and their locations in colored noise using reversible jump MCMC","authors":"F. Asano, H. Asoh, K. Nakadai","doi":"10.5281/ZENODO.52586","DOIUrl":"https://doi.org/10.5281/ZENODO.52586","url":null,"abstract":"The authors proposed a method of estimating the source locations in colored noise using a hierarchical model in Bayesian estimation framework. In this paper, the reversible jump MCMC method is introduced into this method to jointly estimate the number of sources. By introducing this, the cases in which the number of sources is unknown or dynamically changes can be handled. The results of the experiments show an improvement over the conventional methods in terms of the source localization performance in a room reverberation.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sibiri Tiémounou, R. Bouquin-Jeannès, Vincent Barriac
{"title":"Performance evaluation of quality degradation indicators on super-wideband speech signals","authors":"Sibiri Tiémounou, R. Bouquin-Jeannès, Vincent Barriac","doi":"10.5281/ZENODO.43139","DOIUrl":"https://doi.org/10.5281/ZENODO.43139","url":null,"abstract":"This paper presents the performance of quality degradation indicators to be used in the context of super-wideband (50-14000 Hz) telephony. After an overview of these indicators, two analyses are undertaken: the first one considers conditions containing a single degradation and the second one considers conditions comprising several degradations at the same time, reflecting more realistic communications. This study highlights the major role of some indicators, and particularly those designed for quantifying the perceived additive noise, the frequency-response distortion and also the speech level. We show that these indicators are robust to multiple types of degradations and reveal relevant for advanced diagnosis of telecommunication systems.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114517262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis and design of multirate synchronous sampling schemes for sparse multiband signals","authors":"M. E. Dominguez-Jitnenez, N. González-Prelcic","doi":"10.5281/ZENODO.42937","DOIUrl":"https://doi.org/10.5281/ZENODO.42937","url":null,"abstract":"We consider the problem of developing efficient sampling schemes for multiband sparse signals. Previous results on multicoset sampling implementations that lead to universal sampling patterns (which guarantee perfect reconstruction), are based on a set of appropriate interleaved analog to digital converters, all of them operating at the same sampling frequency. In this paper we propose an alternative multirate synchronous implementation of multicoset codes, that is, all the analog to digital converters in the sampling scheme operate at different sampling frequencies, without need of introducing any delay. The interleaving is achieved through the usage of different rates, whose sum is significantly lower than the Nyquist rate of the multiband signal. To obtain universal patterns the sampling matrix is formulated and analyzed. Appropriate choices of the parameters, that is the block length and the sampling rates, are also proposed.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114945823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recursive inverse basis function (RIBF) algorithm for identification of periodically varying systems","authors":"Qadri Mayyala, Ösman Kükrer, A. Hocanin","doi":"10.5281/ZENODO.52163","DOIUrl":"https://doi.org/10.5281/ZENODO.52163","url":null,"abstract":"This paper presents a new algorithm for the identification (tracking) of periodically varying systems. When the system coefficients vary rapidly, conventional adaptive estimators such as the least mean squares (LMS) and the weighted least squares (WLS) algorithms become inefficient. Basis function (BF) algorithms have shown superiority over the conventional ones in tracking the parameters of periodically varying systems. Unfortunately, BF estimators are computationally very demanding. A new recursive inverse basis function estimator (RIBF) and its frequency-adaptive version are proposed which provides a significant reduction in the computational complexity and the mean square parameter estimation error without the need for any error correction code.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134390772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inpainting color images in learned dictionary","authors":"Marko Filipovic, I. Kopriva, A. Cichocki","doi":"10.5281/ZENODO.42760","DOIUrl":"https://doi.org/10.5281/ZENODO.42760","url":null,"abstract":"Sparse representation of natural images over redundant dictionary enables solution of the inpainting problem. A major challenge, in this regard, is learning of a dictionary that is well adapted to the image. Efficient methods are developed for grayscale images represented in patch space by using, for example, K-SVD or independent component analysis algorithms. Here, we address the problem of patch space-based dictionary learning for color images. To this end, an image in RGB color space is represented as a collection of vectorized 3D patch tensors. This leads to the state-of-the-art results in inpainting random and structured patterns of missing values as it is demonstrated in the paper.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient stereo matching based on a new confidence metric","authors":"Won-Hee Lee, Yumi Kim, J. Ra","doi":"10.5281/ZENODO.43101","DOIUrl":"https://doi.org/10.5281/ZENODO.43101","url":null,"abstract":"In this paper, we propose a new confidence metric for efficient stereo matching. To measure the confidence of a stereo match, we refer to the curvatures around the two minimum costs of a cost curve, the size of aggregation kernel, and the occlusion information. Using the proposed confidence metric, we then design a weighted median filter, in order to refine the initially estimated disparities with a small aggregation kernel. In the design of weighted median filter, we overcome the performance degradation due to a small kernel size by utilizing the filter information of previously processed pixels. It is found that the performance of the proposed stereo matching algorithm is competitive to the other existing local algorithms even with a small size of aggregation kernel.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133838502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spatial coding-based Informed Source Separation","authors":"A. Liutkus, A. Ozerov, R. Badeau, G. Richard","doi":"10.5281/ZENODO.52353","DOIUrl":"https://doi.org/10.5281/ZENODO.52353","url":null,"abstract":"Recent advances in multimedia technology opened the path for individual manipulation of the different audio objects within a multichannel mix, for both sampling and karaoke applications. This requires the transmission of these objects as an additional information. Informed Source Separation (ISS) is an adequate framework for this problem. Its main idea is not to transmit the objects themselves, but rather the parameters required to recover them using the mixtures and separation algorithms. In recent studies, the connection was made between ISS and source coding and the concept of coding-based ISS (CISS) was introduced. CISS differs from classical source coding in its use of the mixtures, which permits to reduce the bitrates required to convey audio objects compared to source coding alone with the same model. In this study, we extend existing work on CISS to the case of multichannel mixtures and demonstrate a considerable increase of performance over classical ISS.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133434567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A 1991 Mpixels/s intra prediction architecture for Super Hi-Vision H.264/AVC encoder","authors":"Gang He, Dajiang Zhou, Jinjia Zhou, S. Goto","doi":"10.5281/ZENODO.43025","DOIUrl":"https://doi.org/10.5281/ZENODO.43025","url":null,"abstract":"This paper presents an H.264/AVC intra prediction design for Super Hi-Vision (SHV) video. Due to huge throughput requirements, design challenges such as data dependency and complexity become even more critical. To solve these problems, we first propose an interlaced block reordering scheme together with a coarse-to-fine mode decision (CFMD) strategy to resolve the data dependency between intra mode decision and reconstruction. Circuits area is reduced in the meantime with CFMD. We also propose a probability-based reconstruction scheme to solve the problem from long pipeline latency. As a result, hardware complexity in terms of the product of area and frequency is reduced by 74%. The maximum throughput reaches 1991Mpixels/s for 7680×4320p 60fps video. Total logic gate count is 451.5k in 65nm library.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133472297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Efficient implementation of a system for solo and accompaniment separation in polyphonic music","authors":"Estefanía Cano, C. Dittmar, G. Schuller","doi":"10.5281/ZENODO.43287","DOIUrl":"https://doi.org/10.5281/ZENODO.43287","url":null,"abstract":"Our goal is to obtain improved perceptual quality for separated solo instruments and accompaniment in polyphonic music. The proposed approach uses a pitch detection algorithm in conjunction with a spectral filtering based source separation. The algorithm was designed to work with polyphonic signals regardless of the main instrument, type of accompaniment or musical style. Our approach features a fundamental frequency estimation stage, a refined harmonic structure for the spectral mask and a post-processing stage to reduce artifacts. The processing chain has been kept light. The use of perceptual measures for quality assessment revealed improved quality in the extracted signals with respect to our previous approach. The results obtained with our algorithm were compared with other state-of-the-art algorithms under SISEC 2011.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121722086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Athanasia Zlatintsi, P. Maragos, A. Potamianos, Georgios Evangelopoulos
{"title":"A saliency-based approach to audio event detection and summarization","authors":"Athanasia Zlatintsi, P. Maragos, A. Potamianos, Georgios Evangelopoulos","doi":"10.5281/ZENODO.51982","DOIUrl":"https://doi.org/10.5281/ZENODO.51982","url":null,"abstract":"In this paper, we approach the problem of audio summarization by saliency computation of audio streams, exploring the potential of a modulation model for the detection of perceptually important audio events based on saliency models, along with various fusion schemes for their combination. The fusion schemes include linear, adaptive and nonlinear methods. A machine learning approach, where training of the features is performed, was also applied for the purpose of comparison with the proposed technique. For the evaluation of the algorithm we use audio data taken from movies and we show that nonlinear fusion schemes perform best. The results are reported on the MovSum database, using objective evaluations (against ground-truth denoting the perceptually important audio events). Analysis of the selected audio segments is also performed against a labeled database in respect to audio categories, while a method for fine-tuning of the selected audio events is proposed.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122020683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}