The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Kazuhiro Nakadai - One of the best experts on this subject based on the ideXlab platform.
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Special issue on robot Audition technologies
Journal of Robotics and Mechatronics, 2017Co-Authors: Hiroshi G Okuno, Kazuhiro NakadaiAbstract:Robot Audition, the ability of a robot to listen to several things at once with its own “ears,” is crucial to the improvement of interactions and symbiosis between humans and robots. Since robot Audition was originally proposed and has been pioneered by Japanese research groups, this special issue on robot Audition technologies of the Journal of Robotics and Mechatronics covers a wide collection of advanced topics studied mainly in Japan. Specifically, two consecutive JSPS Grants-in-Aid for Scientific Research (S) on robot Audition (PI: Hiroshi G. Okuno) from 2007 to 2017, JST Japan-France Research Cooperative Program on binaural listening for humanoids (PI: Hiroshi G. Okuno and Patrick Danès) from 2009 to 2013, and the ImPACT Tough Robotics Challenge (PM: Prof. Satoshi Tadokoro) on extreme Audition for search and rescue robots since 2015 have contributed to the promotion of robot Audition research, and most of the papers in this issue are the outcome of these projects. Robot Audition was surveyed in the special issue on robot Audition in the Journal of Robotic Society of Japan , Vol.28, No.1 (2011) and in our IEEE ICASSP-2015 paper. This issue covers the most recent topics in robot Audition, except for human-robot interactions, which was covered by many papers appearing in Advanced Robotics as well as other journals and international conferences, including IEEE IROS. This issue consists of twenty-three papers accepted through peer reviews. They are classified into four categories: signal processing, music and pet robots, search and rescue robots, and monitoring animal acoustics in natural habitats. In signal processing for robot Audition, Nakadai, Okuno, et al. report on HARK open source software for robot Audition, Takeda, et al. develop noise-robust MUSIC-sound source localization (SSL), and Yalta, et al. use deep learning for SSL. Odo, et al. develop active SSL by moving artificial pinnae, and Youssef, et al. propose binaural SSL for an immobile or mobile talker. Suzuki, Otsuka, et al. evaluate the influence of six impulse-response-measuring signals on MUSIC-based SSL, Sekiguchi, et al. give an optimal allocation of distributed microphone arrays for sound source separation, and Tanabe, et al. develop 3D SSL by using a microphone array and LiDAR. Nakadai and Koiwa present audio-visual automatic speech recognition, and Nakadai, Tezuka, et al. suppress ego-noise, that is, noise generated by the robot itself. In music and pet robots, Ohkita, et al. propose audio-visual beat tracking for a robot to dance with a human dancer, and Tomo, et al. develop a robot that operates a wayang puppet, an Indonesian world cultural heritage, by recognizing emotion in Gamelan music. Suzuki, Takahashi, et al. develop a pet robot that approaches a sound source. In search and rescue robots, Hoshiba, et al. implement real-time SSL with a microphone array installed on a multicopter UAV, and Ishiki, et al. design a microphone array for multicopters. Ohata, et al. detect a sound source with a multicopter microphone array, and Sugiyama, et al. identify detected acoustic events through a combination of signal processing and deep learning. Bando, et al. enhance the human-voice online and offline for a hose-shaped rescue robot with a microphone array. In monitoring animal acoustics in natural habitats, Suzuki, Matsubayashi, et al. design and implement HARKBird, Matsubayashi, et al. report on the experience of monitoring birds with HARKBird, and Kojima, et al. use a spatial-cue-based probabilistic model to analyze the songs of birds singing in their natural habitat. Aihara, et al. analyze a chorus of frogs with dozens of sound-to-light conversion device Firefly, the design and analysis of which is reported on by Mizumoto, et al. The editors and authors hope that this special issue will promote the further evolution of robot Audition technologies in a diversity of applications.
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robot Audition its rise and perspectives
International Conference on Acoustics Speech and Signal Processing, 2015Co-Authors: Hiroshi G Okuno, Kazuhiro NakadaiAbstract:The ability of robots to listen to several things at once with their own “ears”, that is, robot Audition, is an important factor in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper first overviews activities and issues related to robot Audition. Then, it presents the “HARK” robot Audition software, which provides three primary functions for robot Audition, sound source localization, sound source separation, and separated sound recognition, and then reports their performance. Finally, it discusses future directions in new promising areas as well as robotics.
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ICASSP - Robot Audition: Its rise and perspectives
2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2015Co-Authors: Hiroshi G Okuno, Kazuhiro NakadaiAbstract:The ability of robots to listen to several things at once with their own “ears”, that is, robot Audition, is an important factor in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper first overviews activities and issues related to robot Audition. Then, it presents the “HARK” robot Audition software, which provides three primary functions for robot Audition, sound source localization, sound source separation, and separated sound recognition, and then reports their performance. Finally, it discusses future directions in new promising areas as well as robotics.
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Robot Audition for dynamic environments
2012 IEEE International Conference on Signal Processing Communication and Computing (ICSPCC 2012), 2012Co-Authors: Kazuhiro Nakadai, Gokhan Ince, Keisuke Nakamura, Hirofumi NakajimaAbstract:This paper addresses robot Audition for dynamic environments, where speakers and/or a robot is moving within a dynamically-changing acoustic environment. Robot Audition studied so far assumed only stationary human-robot interaction scenes, and thus they have difficulties in coping with such dynamic environments. We recently developed new techniques for a robot to listen to several things simultaneously using its own ears even in dynamic environments; MUltiple SIgnal Classification based on Generalized Eigen-Value Decomposition (GEVD-MUSIC), Geometrically constrained High-order Decorrelation based Source Separation with Adaptive Step-size control (GHDSS-AS), Histogram-based Recursive Level Estimation (HRLE), and Template-based Ego Noise Suppression (TENS). GEVD-MUSIC provides noise-robust sound source localization. GHDSS-AS is a new sound source separation method which quickly adapts its sound source separation parameters to dynamic changes. HRLE is a practical post-filtering method with a small number of parameters. ENS estimates the motor noise of the robot by using templates recorded in advance and eliminates it. These methods are implemented as modules for our open-source robot Audition software HARK to be easily integrated. We show that each of these methods and their combinations are effective to cope with dynamic environments through off-line experiments and on-line real-time demonstrations.
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Robot Audition: Missing Feature Theory Approach and Active Audition
Robotics Research, 2011Co-Authors: Hiroshi G Okuno, Kazuhiro Nakadai, Hyun-don KimAbstract:Robot capability of listening to several things at once by its own ears, that is,robot Audition, is important in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper presents two important aspects of robot Audition; Missing-Feature-Theory (MFT) approach and active Audition. HARK open-source robot Audition incorporates MFT approach to recognize speech signals that are localized and separated from a mixture of sound captured by 8- channel microphone array. HARK is ported to four robots, Honda ASIMO, SIG2, Robovie-R2 and HRP-2, with different microphone configurations and recognizes three simultaneous utterances with 1.9 sec latency. In binaural hearing, the most famous problem is a front-back confusion of sound sources. Active binaural robot Audition implemented on SIG2 disambiguates the problem well by rotating its head with pitting. This active Audition improves the localization for the periphery.
Hiroshi G Okuno - One of the best experts on this subject based on the ideXlab platform.
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Special issue on robot Audition technologies
Journal of Robotics and Mechatronics, 2017Co-Authors: Hiroshi G Okuno, Kazuhiro NakadaiAbstract:Robot Audition, the ability of a robot to listen to several things at once with its own “ears,” is crucial to the improvement of interactions and symbiosis between humans and robots. Since robot Audition was originally proposed and has been pioneered by Japanese research groups, this special issue on robot Audition technologies of the Journal of Robotics and Mechatronics covers a wide collection of advanced topics studied mainly in Japan. Specifically, two consecutive JSPS Grants-in-Aid for Scientific Research (S) on robot Audition (PI: Hiroshi G. Okuno) from 2007 to 2017, JST Japan-France Research Cooperative Program on binaural listening for humanoids (PI: Hiroshi G. Okuno and Patrick Danès) from 2009 to 2013, and the ImPACT Tough Robotics Challenge (PM: Prof. Satoshi Tadokoro) on extreme Audition for search and rescue robots since 2015 have contributed to the promotion of robot Audition research, and most of the papers in this issue are the outcome of these projects. Robot Audition was surveyed in the special issue on robot Audition in the Journal of Robotic Society of Japan , Vol.28, No.1 (2011) and in our IEEE ICASSP-2015 paper. This issue covers the most recent topics in robot Audition, except for human-robot interactions, which was covered by many papers appearing in Advanced Robotics as well as other journals and international conferences, including IEEE IROS. This issue consists of twenty-three papers accepted through peer reviews. They are classified into four categories: signal processing, music and pet robots, search and rescue robots, and monitoring animal acoustics in natural habitats. In signal processing for robot Audition, Nakadai, Okuno, et al. report on HARK open source software for robot Audition, Takeda, et al. develop noise-robust MUSIC-sound source localization (SSL), and Yalta, et al. use deep learning for SSL. Odo, et al. develop active SSL by moving artificial pinnae, and Youssef, et al. propose binaural SSL for an immobile or mobile talker. Suzuki, Otsuka, et al. evaluate the influence of six impulse-response-measuring signals on MUSIC-based SSL, Sekiguchi, et al. give an optimal allocation of distributed microphone arrays for sound source separation, and Tanabe, et al. develop 3D SSL by using a microphone array and LiDAR. Nakadai and Koiwa present audio-visual automatic speech recognition, and Nakadai, Tezuka, et al. suppress ego-noise, that is, noise generated by the robot itself. In music and pet robots, Ohkita, et al. propose audio-visual beat tracking for a robot to dance with a human dancer, and Tomo, et al. develop a robot that operates a wayang puppet, an Indonesian world cultural heritage, by recognizing emotion in Gamelan music. Suzuki, Takahashi, et al. develop a pet robot that approaches a sound source. In search and rescue robots, Hoshiba, et al. implement real-time SSL with a microphone array installed on a multicopter UAV, and Ishiki, et al. design a microphone array for multicopters. Ohata, et al. detect a sound source with a multicopter microphone array, and Sugiyama, et al. identify detected acoustic events through a combination of signal processing and deep learning. Bando, et al. enhance the human-voice online and offline for a hose-shaped rescue robot with a microphone array. In monitoring animal acoustics in natural habitats, Suzuki, Matsubayashi, et al. design and implement HARKBird, Matsubayashi, et al. report on the experience of monitoring birds with HARKBird, and Kojima, et al. use a spatial-cue-based probabilistic model to analyze the songs of birds singing in their natural habitat. Aihara, et al. analyze a chorus of frogs with dozens of sound-to-light conversion device Firefly, the design and analysis of which is reported on by Mizumoto, et al. The editors and authors hope that this special issue will promote the further evolution of robot Audition technologies in a diversity of applications.
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robot Audition its rise and perspectives
International Conference on Acoustics Speech and Signal Processing, 2015Co-Authors: Hiroshi G Okuno, Kazuhiro NakadaiAbstract:The ability of robots to listen to several things at once with their own “ears”, that is, robot Audition, is an important factor in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper first overviews activities and issues related to robot Audition. Then, it presents the “HARK” robot Audition software, which provides three primary functions for robot Audition, sound source localization, sound source separation, and separated sound recognition, and then reports their performance. Finally, it discusses future directions in new promising areas as well as robotics.
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ICASSP - Robot Audition: Its rise and perspectives
2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2015Co-Authors: Hiroshi G Okuno, Kazuhiro NakadaiAbstract:The ability of robots to listen to several things at once with their own “ears”, that is, robot Audition, is an important factor in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper first overviews activities and issues related to robot Audition. Then, it presents the “HARK” robot Audition software, which provides three primary functions for robot Audition, sound source localization, sound source separation, and separated sound recognition, and then reports their performance. Finally, it discusses future directions in new promising areas as well as robotics.
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Robot Audition: Missing Feature Theory Approach and Active Audition
Robotics Research, 2011Co-Authors: Hiroshi G Okuno, Kazuhiro Nakadai, Hyun-don KimAbstract:Robot capability of listening to several things at once by its own ears, that is,robot Audition, is important in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper presents two important aspects of robot Audition; Missing-Feature-Theory (MFT) approach and active Audition. HARK open-source robot Audition incorporates MFT approach to recognize speech signals that are localized and separated from a mixture of sound captured by 8- channel microphone array. HARK is ported to four robots, Honda ASIMO, SIG2, Robovie-R2 and HRP-2, with different microphone configurations and recognizes three simultaneous utterances with 1.9 sec latency. In binaural hearing, the most famous problem is a front-back confusion of sound sources. Active binaural robot Audition implemented on SIG2 disambiguates the problem well by rotating its head with pitting. This active Audition improves the localization for the periphery.
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ISRR - Robot Audition: Missing Feature Theory Approach and Active Audition
Springer Tracts in Advanced Robotics, 2011Co-Authors: Hiroshi G Okuno, Kazuhiro Nakadai, Hyun-don KimAbstract:Robot capability of listening to several things at once by its own ears, that is,robot Audition, is important in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper presents two important aspects of robot Audition; Missing-Feature-Theory (MFT) approach and active Audition. HARK open-source robot Audition incorporates MFT approach to recognize speech signals that are localized and separated from a mixture of sound captured by 8- channel microphone array. HARK is ported to four robots, Honda ASIMO, SIG2, Robovie-R2 and HRP-2, with different microphone configurations and recognizes three simultaneous utterances with 1.9 sec latency. In binaural hearing, the most famous problem is a front-back confusion of sound sources. Active binaural robot Audition implemented on SIG2 disambiguates the problem well by rotating its head with pitting. This active Audition improves the localization for the periphery.
Béatrice Kan-balivet - One of the best experts on this subject based on the ideXlab platform.
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Audition du mineur en justice - Fascicule 20
2010Co-Authors: Béatrice Kan-balivet, Chapuis SylvieAbstract:24 formules rédigées sur la thématique de l'Audition du mineur en justice - justice civile
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Audition du mineur en justice - Fascicule 10
2010Co-Authors: Béatrice Kan-balivetAbstract:Etude du droit positif portant sur l'Audition du mineur en justice - justice civile
Lynn Kosowicz - One of the best experts on this subject based on the ideXlab platform.
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do Audition electives impact match success
Medical Education Online, 2016Co-Authors: Elizabeth Higgins, Linnie Newman, Sally Schwab, Katherine Halligan, Margaret Miller, Lynn KosowiczAbstract:Purpose : The authors sought to determine the value of the Audition elective to the overall success of medical students in the match. Method : The authors surveyed 1,335 fourth-year medical students at 10 medical schools in 2013. The study took place over a 2-month period immediately following the match. Medical students were emailed a 14-question survey and asked about Audition electives, rank order, and cost of ‘away’ rotations. Results : One hundred percent of students wishing to match in otolaryngology, neurosurgery, plastic surgery, radiation oncology, and urology took the Audition electives. The difference by specialty in the proportion of students who took an Audition was statistically significant ( p <0.001). Of the students who Auditioned, 71% matched at one of their top three choices compared with 84% of non-Auditioners who matched to one of their top three choices ( p <0.01). Conclusions : Students performed a large number of ‘away’ rotations as ‘Auditions’ in order to improve their chances in the match. For certain competitive specialties, virtually all students Auditioned. Overall, students who did not Audition were just as successful as or more successful than students who did Audition. Keywords: Audition; electives; match; 4th year students (Published: 13 June 2016) Citation: Med Educ Online 2016, 21: 31325 - http://dx.doi.org/10.3402/meo.v21.31325
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Do Audition electives impact match success
Medical education online, 2016Co-Authors: Elizabeth A. Higgins, Linnie Newman, Katherine E. Halligan, Margaret M. Miller, Sally Schwab, Lynn KosowiczAbstract:Purpose : The authors sought to determine the value of the Audition elective to the overall success of medical students in the match. Method : The authors surveyed 1,335 fourth-year medical students at 10 medical schools in 2013. The study took place over a 2-month period immediately following the match. Medical students were emailed a 14-question survey and asked about Audition electives, rank order, and cost of ‘away’ rotations. Results : One hundred percent of students wishing to match in otolaryngology, neurosurgery, plastic surgery, radiation oncology, and urology took the Audition electives. The difference by specialty in the proportion of students who took an Audition was statistically significant ( p
Hyun-don Kim - One of the best experts on this subject based on the ideXlab platform.
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Robot Audition: Missing Feature Theory Approach and Active Audition
Robotics Research, 2011Co-Authors: Hiroshi G Okuno, Kazuhiro Nakadai, Hyun-don KimAbstract:Robot capability of listening to several things at once by its own ears, that is,robot Audition, is important in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper presents two important aspects of robot Audition; Missing-Feature-Theory (MFT) approach and active Audition. HARK open-source robot Audition incorporates MFT approach to recognize speech signals that are localized and separated from a mixture of sound captured by 8- channel microphone array. HARK is ported to four robots, Honda ASIMO, SIG2, Robovie-R2 and HRP-2, with different microphone configurations and recognizes three simultaneous utterances with 1.9 sec latency. In binaural hearing, the most famous problem is a front-back confusion of sound sources. Active binaural robot Audition implemented on SIG2 disambiguates the problem well by rotating its head with pitting. This active Audition improves the localization for the periphery.
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ISRR - Robot Audition: Missing Feature Theory Approach and Active Audition
Springer Tracts in Advanced Robotics, 2011Co-Authors: Hiroshi G Okuno, Kazuhiro Nakadai, Hyun-don KimAbstract:Robot capability of listening to several things at once by its own ears, that is,robot Audition, is important in improving interaction and symbiosis between humans and robots. The critical issue in robot Audition is real-time processing and robustness against noisy environments with high flexibility to support various kinds of robots and hardware configurations. This paper presents two important aspects of robot Audition; Missing-Feature-Theory (MFT) approach and active Audition. HARK open-source robot Audition incorporates MFT approach to recognize speech signals that are localized and separated from a mixture of sound captured by 8- channel microphone array. HARK is ported to four robots, Honda ASIMO, SIG2, Robovie-R2 and HRP-2, with different microphone configurations and recognizes three simultaneous utterances with 1.9 sec latency. In binaural hearing, the most famous problem is a front-back confusion of sound sources. Active binaural robot Audition implemented on SIG2 disambiguates the problem well by rotating its head with pitting. This active Audition improves the localization for the periphery.