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HRTF-based localization and separation of multiple sound sources
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012The human auditory system excels at pinpointing and distinguishing multiple sound sources in noisy and reverberant environments. Mobile robotic platforms implement such capabilities with varying success, classically solving localization and separation independently.
Martin Rothbucher +4 more
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Sound source separation of moving speakers for robot audition
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009This paper addresses sound source separation and speech recognition for moving sound sources. Real-world applications such as robots should cope with both moving and stationary sound sources. However, most studies assume only stationary sound sources. We introduce two key techniques to cope with moving sources, that is, Adaptive Step-size control (AS ...
Kazuhiro Nakadai +3 more
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Acoustic source separation for the detection of coronary artery sounds
The Journal of the Acoustical Society of America, 2011Coronary artery disease (CAD) is the leading cause of death in the United States, being responsible for more than 20% of all deaths in the country. This is in large part due to the difficulty of diagnostic screening for CAD. Phonoangiography seeks to detect CAD via the acoustic signature associated with turbulent flow near an abnormally constricted, or
Daniel B, Cooper +2 more
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Separation of concurrent broadband sound sources by human listeners
The Journal of the Acoustical Society of America, 2003The effect of spatial separation on the ability of human listeners to resolve a pair of concurrent broadband sounds was examined. Stimuli were presented in a virtual auditory environment using individualized outer ear filter functions. Subjects were presented with two simultaneous noise bursts that were either spatially coincident or separated ...
Virginia, Best +2 more
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Sound source separation using convolutional mixing and a priori sound source knowledge
The Journal of the Acoustical Society of America, 2005Sound source separation, without permutation, using convolutional mixing independent component analysis based on a priori knowledge of the target sound source is disclosed. The target sound source can be a human speaker. The reconstruction filters used in the sound source separation take into account the a priori knowledge of the target sound source ...
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Background-Sound Controllable Voice Source Separation
INTERSPEECH 2023, 2023Deokjun Eom, Woo Hyun Nam, Kyung-Rae Kim
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Multi-sources separation for sound source localization
Interspeech 2014, 2014Mariem Bouafif, Zied Lachiri
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Research on noise source separation and sound quality prediction for electric powertrain
Applied Acoustics, 2022Zhiguo Kong, Yongxi Yang
exaly
Visual Sound Source Separation with Partial Supervision Learning
2022 IEEE International Conference on Image Processing (ICIP), 2022Huasen Wang +3 more
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