Zobrazeno 1 - 10
of 382
pro vyhledávání: '"robot audition"'
Publikováno v:
Drones, Vol 8, Iss 6, p 265 (2024)
With the rapid industrialization utilizing multi-rotor drones in recent years, an increase in urban flights is expected in the near future. This may potentially result in noise pollution due to the operation of drones. This study investigates the nea
Externí odkaz:
https://doaj.org/article/9a6ec50c8c614f2d84d8961b288d74d5
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6056 (2023)
Locating the sound source is one of the most important capabilities of robot audition. In recent years, single-source localization techniques have increasingly matured. However, localizing and tracking specific sound sources in multi-source scenarios
Externí odkaz:
https://doaj.org/article/2a10087fbc7d47f1b9d0a0bb2e6301b3
Publikováno v:
Birds, Vol 2, Iss 2, Pp 158-172 (2021)
To understand the social interactions among songbirds, extracting the timing, position, and acoustic properties of their vocalizations is essential. We propose a framework for automatic and fine-scale extraction of spatial-spectral-temporal patterns
Externí odkaz:
https://doaj.org/article/939d54c1a9624e09b4849d6b192c7686
Autor:
François Grondin, Dominic Létourneau, Cédric Godin, Jean-Samuel Lauzon, Jonathan Vincent, Simon Michaud, Samuel Faucher, François Michaud
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Artificial audition aims at providing hearing capabilities to machines, computers and robots. Existing frameworks in robot audition offer interesting sound source localization, tracking and separation performance, although involve a significant amoun
Externí odkaz:
https://doaj.org/article/d7f343f422374996b8609a8a91c5abcf
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This paper proposes the use of the standing waves created by the interference between transmitted and reflected acoustic signals to recognize the size and the shape of a target object. This study shows that the profile of the distance spectrum genera
Externí odkaz:
https://doaj.org/article/eddcab7907f342c4b6bfc9fea05fac7f
Autor:
Shiho Matsubayashi, Kazuhiro Nakadai, Reiji Suzuki, Tatsuya Ura, Makoto Hasebe, Hiroshi G. Okuno
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Bioacoustics monitoring has become increasingly popular for studying the behavior and ecology of vocalizing birds. This study aims to verify the practical effectiveness of localization technology for auditory monitoring of endangered Eurasian bittern
Externí odkaz:
https://doaj.org/article/75cb2f34ba6a47d097f81c503831cfee
Autor:
Shinji Sumitani, Reiji Suzuki, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 7, Iss 1, Pp 18-35 (2021)
Abstract Ecoacoustics needs sophisticated acoustic monitoring tools to extract a wide level of features from an observed mixture of sounds. We have developed a portable acoustic monitoring system called ‘HARKBird’ which consists of a laptop PC an
Externí odkaz:
https://doaj.org/article/b339ba02b61b48ceabb225e12d33305e
Publikováno v:
IEEE Access, Vol 9, Pp 38718-38730 (2021)
Sound source localization and separation are essential functions for robot audition to comprehend acoustic environments. The widely-used multiple signal classification (MUSIC) can precisely estimate the directions of arrival (DoAs) of multiple sound
Externí odkaz:
https://doaj.org/article/c46a8e69a6bb4fe7b99ff16855a5a28c
Autor:
Reiji Suzuki, Koichiro Hayashi, Hideki Osaka, Shiho Matsubayashi, Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3607 (2023)
Songbirds are one of the study targets for both bioacoustic and ecoacoustic research. In this paper, we discuss the applicability of robot audition techniques to understand the dynamics of forest bird vocalizations in a soundscape measured in azimuth
Externí odkaz:
https://doaj.org/article/8ecf165d54cc4bdf8fbfef79bc629a80