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Journal ArticleDOI

Two-microphone multi-speaker localization based on a Laplacian Mixture Model

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TLDR
Results using public available data show the capability of the method to successfully detect the DOA of several sources in real environments.
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This article is published in Digital Signal Processing.The article was published on 2011-01-01. It has received 35 citations till now. The article focuses on the topics: Mixture model & Microphone array.

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Citations
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Journal ArticleDOI

Robust acoustic source localization based on modal beamforming and time–frequency processing using circular microphone arrays

TL;DR: This paper presents a localization framework based on circular harmonics beamforming and T-F processing that provides accurate localization performance under very adverse acoustic conditions and discusses the validity of the proposed approach and comparing its performance with other state-of-the-art methods.
Journal ArticleDOI

An iterative approach to source counting and localization using two distant microphones

TL;DR: A time difference of arrival (TDOA) estimation framework based on time-frequency inter-channel phase difference (IPD) and an iterative contribution removal (ICR) algorithm that successfully solves the GCC peak ambiguities between multiple sources and multiple reverberant paths.
Journal ArticleDOI

Sound Localization Based on Phase Difference Enhancement Using Deep Neural Networks

TL;DR: A DNN-based phase difference enhancement for DoA estimation, which turned out to be better than the direct estimation of the DoAs from the input interchannel phase differences (IPDs).
Journal ArticleDOI

Real-time multiple sound source localization and counting using a soundfield microphone

TL;DR: A multiple sound source localization and counting method based on a relaxed sparsity of speech signal that achieves a higher accuracy of DOA estimation and source counting compared with the existing techniques has higher efficiency and lower complexity, which makes it suitable for real-time applications.
Journal ArticleDOI

Evaluation of generalized cross-correlation methods for direction of arrival estimation using two microphones in real environments

TL;DR: In this article, four generalized cross-correlation methods for localization of speech sources with two microphones have been analyzed in different real scenarios with a stationary noise source, and these scenarios have been acoustically characterized, in order to relate the behavior of these cross correlation methods with the acoustic properties of noisy scenarios.
References
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Journal ArticleDOI

Multiple emitter location and signal parameter estimation

TL;DR: In this article, a description of the multiple signal classification (MUSIC) algorithm, which provides asymptotically unbiased estimates of 1) number of incident wavefronts present; 2) directions of arrival (DOA) (or emitter locations); 3) strengths and cross correlations among the incident waveforms; 4) noise/interference strength.
Journal ArticleDOI

Blind separation of speech mixtures via time-frequency masking

TL;DR: The results demonstrate that there exist ideal binary time-frequency masks that can separate several speech signals from one mixture and show that the W-disjoint orthogonality of speech can be approximate in the case where two anechoic mixtures are provided.
Journal ArticleDOI

Computational auditory scene analysis

TL;DR: A segregation system that is consistent with psychological and physiological findings and significantly better than that of the frame-based segregation scheme described by Meddis and Hewitt (1992).
Book ChapterDOI

Robust Localization in Reverberant Rooms

TL;DR: This chapter summarizes the current field and comments on the general merits and shortcomings of each genre, and presents a new localization method that is significantly more robust to acoustical conditions, particularly reverberation effects, than the traditional localization techniques in use today.
Proceedings ArticleDOI

On the approximate W-disjoint orthogonality of speech

TL;DR: A power weighted two-dimensional histogram constructed from the ratio of the time-frequency representations of the mixtures which is shown to have one peak for each source with: peak location corresponding to the relative amplitude and delay mixing parameters.
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