2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
DOI: 10.1109/iros.2004.1389723
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Enhanced robot audition based on microphone array source separation with post-filter

Abstract: Abstract-We propose a system that gives a mobile robot the ability to separate simultaneous sound sources. A microphone array is used along with a real-time dedicated implementation of Geometric Source Separation and a post-filter that gives us a further reduction of interferences from other sources. We present results and comparisons for separation of multiple non-stationary speech sources combined with noise sources. The main advantage of our approach for mobile robots resides in the fact that both the frequ… Show more

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Cited by 100 publications
(87 citation statements)
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“…In [20], the sources are separated from each other, in order to enhance speech recognition, and as a preamble for DOA estimation. However, it required an array of 8 microphones positioned in a cube-like manner to work, which may be impractical for service robots.…”
Section: On Source Direction Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…In [20], the sources are separated from each other, in order to enhance speech recognition, and as a preamble for DOA estimation. However, it required an array of 8 microphones positioned in a cube-like manner to work, which may be impractical for service robots.…”
Section: On Source Direction Estimationmentioning
confidence: 99%
“…A sophisticated recording system may be able to overcome them, such as the one proposed in [17] that used a 24-microphone 1-D array for precision. However, a high amount of microphones may be impractical to carry by many of the currently-in-use service robots [20,11], such as our in-house robot, Golem, herein described.…”
Section: Introductionmentioning
confidence: 99%
“…Microphone array based speech acquisition is a common practice in hands-free interfaces in state-of-the-art applications such as distant speech recognition [1], speech separation [2], [3] and speaker localization [4], [5]. Multi-channel signal acquisition relies on beamforming or spatial filtering for directional discrimination, and space-time filtering of the signals in the acoustic scene [6], [7].…”
Section: Introductionmentioning
confidence: 99%
“…Under this requirement there have been several research issues currently active in the Robotics community. These issues include speaker localization [1] [5], speech separation and enhancement [2], speech recognition and natural dialog [3], and speaker identification and multi-modal interaction [4] etc. Among them, speaker localization using either biological hearing principle [5] or microphone array [1] has drawn lots of attentions for many years [6].…”
Section: Introductionmentioning
confidence: 99%