ICASSP is the world's largest and most comprehensive technical conference on signal processing and its applications. It provides a fantastic networking opportunity for like-minded professionals from around the world. ICASSP 2016 conference will feature world-class presentations by internationally renowned speakers and cutting-edge session topics.
Reverberation is well-known to have a detrimental impact on many localization methods for audio sources. We address this problem by imposing a model for the early reflections as well as a model for the audio source itself. Using these models, we propose two iterative localization methods that estimate the direction-of-arrival (DOA) of both the direct path of the audio source and the early reflections.
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- Read more about Variable Span Filtering for Speech Enhancement
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In this work, we consider enhancement of multichannel speech recordings. Linear filtering and subspace approaches have been considered previously for solving the problem. The current linear filtering methods, although many variants exist, have limited control of noise reduction and speech distortion. Subspace approaches, on the other hand, can potentially yield better control by filtering in the eigen-domain, but traditionally these approaches have not been optimized explicitly for traditional noise reduction and signal distortion measures.
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- Read more about NMF-based source separation utilizing prior knowledge on encoding vector
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- Read more about Effecient Sensor Position Selection Using Graph Signal Sampling Theory
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We consider the problem of selecting optimal sensor placements. The proposed approach is based on the sampling theorem of graph signals. We choose sensors that maximize the graph cut-off frequency, i.e., the most informative sensors for predicting the values on unselected sensors. We study the existing methods in the context of graph signal processing and clarify the relationship between these methods and the proposed approach. The effectiveness of our approach is verified through numerical experiments, showing advantages in prediction error and execution time.
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![A weight multizone soundfield reproduction layout A weighted multizone soundfield reproduction layout is shown. The shading depicts the desired bright zone soundfield partially directed towards the quiet zone causing the occlusion problem.](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/Fig1.png?itok=NRSYXb4F)
- Read more about Improving Speech Privacy in Personal Sound Zones
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This work proposes two methods for providing speech privacy between spatial zones in anechoic and reverberant environments. The methods are based on masking the content leaked between regions. The masking is optimised to maximise the speech intelligibility contrast (SIC) between the zones. The first method uses a uniform masker signal that is combined with desired multizone loudspeaker signals and requires acoustic contrast between zones.
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![ICASSP 2016 Paper ICASSP 2016 Slide Cover](https://sigport.org/sites/default/files/styles/list/public/Media%20Root/icassp2016_slideCover.png?itok=VqNR9TF-)
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- Read more about COMBINING DIRTY-PAPER CODING AND ARTIFICIAL NOISE FOR SECRECY
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ICASSP2016.ppt
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- Read more about EXTENSIONS OF SEMIDEFINITE PROGRAMMING METHODS FOR ATOMIC DECOMPOSITION
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We present an extension of recent semidefinite programming formulations for atomic decomposition over continuous dictionaries, with applications to continuous or 'gridless' compressed sensing. The dictionary considered in this paper is defined in terms of a general matrix pencil and is parameterized by a complex variable that varies over a segment of a line or circle in the complex plane. The main result of the paper is the formulation as a convex semidefinite optimization problem, and a simple constructive proof of the equivalence.
poster.pdf
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- Read more about ON PARAMETER ESTIMATION OF SYMMETRIC ALPHA-STABLE DISTRIBUTION
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