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Akademický článek

DOA-informed switching independent vector extraction and beamforming for speech enhancement in underdetermined situations

Autor: Tetsuya Ueda, Tomohiro Nakatani, Rintaro Ikeshita, Shoko Araki, Shoji Makino

Publikováno v: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-20 (2024)

Abstract This paper proposes novel methods for extracting a single Speech signal of Interest (SOI) from a multichannel observed signal in underdetermined situations, i.e., when the observed signal contains more speech signals than microphones. It foc

Externí odkaz: https://doaj.org/article/de6dfe3191c04d4e8c5ae94f52bbb48e

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Akademický článek

Provision of Allotment Gardens and Its Influencing Factors: A Case Study of Tokyo, Japan

Autor: Hua Zheng, Noriko Akita, Shoko Araki, Masayo Fukuda

Publikováno v: Land, Vol 11, Iss 3, p 333 (2022)

Allotment gardens (AGs) are widely used in metropolitan areas around the world to offer agricultural opportunities to urban residents. However, there are not enough individual plots for residents to rent for urban gardening, and research on AGs from

Externí odkaz: https://doaj.org/article/f53e39f1b33f48299d6a331227303dd5

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Akademický článek

Managing Conflicts with Local Communities over the Introduction of Renewable Energy: The Solar-Rush Experience in Japan

Autor: Noriko Akita, Yasuo Ohe, Shoko Araki, Makoto Yokohari, Toru Terada, Jay Bolthouse

Publikováno v: Land, Vol 9, Iss 9, p 290 (2020)

A worldwide introduction of renewable energy has been required to reduce greenhouse gas emissions. Concomitantly, this has caused conflict between renewable energy development and local communities over landscape changes. This study aims to clarify t

Externí odkaz: https://doaj.org/article/854aedaaf61f4b72b019a654f65dc890

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SoundBeam: Target Sound Extraction Conditioned on Sound-Class Labels and Enrollment Clues for Increased Performance and Continuous Learning

Autor: Marc Delcroix, Jorge Bennasar Vazquez, Tsubasa Ochiai, Keisuke Kinoshita, Yasunori Ohishi, Shoko Araki

Publikováno v: IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31:121-136

In many situations, we would like to hear desired sound events (SEs) while being able to ignore interference. Target sound extraction (TSE) tackles this problem by estimating the audio signal of the sounds of target SE classes in a mixture of sounds

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e3c3dbebd4b27553bcf21d18c3106b8
https://doi.org/10.1109/taslp.2022.3221000

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