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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 09:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Derivation of Direct Update Rule for Back-Projected Separation Matrix Yui Kuriki, Taishi Nakashima, Nobutaka Ono (TMU)  EA2023-66 SIP2023-113 SP2023-48 |
Blind source separation (BSS) is a widely used technique for separating mixed signals originating from multiple sources.... [more] | EA2023-66 SIP2023-113 SP2023-48 pp.31-36 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Analysis of Overlapped Utterances in Everyday Conversation and Source Separation by Online Independent Vector Analysis for Asynchronous Distributed Recordings Haruki Nammoku, Taishi Nakashima, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) EA2023-67 SIP2023-114 SP2023-49 |
In this study, we investigate the effects of overlapped utterances on transcription in everyday conversation and propose... [more] | EA2023-67 SIP2023-114 SP2023-49 pp.37-42 |
| EA | 2022-05-13 13:10 |
Online | Online | Fast Blind Source Separation in Noisy Reverberant Environments Using Independent Vector Extraction Rintaro Ikeshita, Tomohiro Nakatani (NTT) EA2022-5 |
Blind source separation (BSS) is a technique of separating and extracting individual source signals only from their mixt... [more] | EA2022-5 pp.20-25 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-19 15:00 |
Online | Online | Source Separation for Asynchronous Recordings of Conversation Using Time-Frequency Masking and Independent Vector Analysis Haruki Nammoku, Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono (TMU) SP2021-22 |
In this study, we investigate the source separation for conversational speech recorded by multiple voice recorders that ... [more] | SP2021-22 pp.101-106 |
| EA, SIP, SP | 2019-03-15 11:25 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Invited Talk]
Realization of real-time blind source separation with auxiliary-function-based algorithms Nobutaka Ono (TMU) EA2018-133 SIP2018-139 SP2018-95 |
Blind source separation is a signal processing technique to estimate sound source signals only from the observation of m... [more] | EA2018-133 SIP2018-139 SP2018-95 p.203 |
| MBE | 2014-05-24 14:50 |
Toyama | University of Toyama | Separation of artifacts mixed in the EEGs when eating with use of independent vector analysis (IVA) Shigeru Tominaga (Meiji), Hisashi Yoshida, Noboru Nakasako (Kinki Univ.) MBE2014-8 |
In feeling estimation while eating by use of EEG, removing artifacts induced by principally masticatory muscular activit... [more] | MBE2014-8 pp.37-42 |
| SP, EA, SIP | 2013-05-16 13:00 |
Okayama | [Invited Talk]
Fast Blind Source Separation Based on Auxiliary-function-based Independent Vector Analysis Nobutaka Ono (NII) EA2013-5 SIP2013-5 SP2013-5 |
In this paper, the fast and stable blind source separation algorithm, which is derived by applying auxiliary function me... [more] | EA2013-5 SIP2013-5 SP2013-5 pp.25-30 |
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| SP, EA, SIP | 2013-05-17 13:25 |
Okayama | Online independent vector analysis with incremental updates of weighted covariance Toru Taniguchi (Toshiba), Nobutaka Ono (NII), Akinori Kawamura (Toshiba), Shigeki Sagayama (NII) EA2013-21 SIP2013-21 SP2013-21 |
We proposed a method of online independent vector analysis based on an auxiliary-function approach, proposed by N. Ono,... [more] |
EA2013-21 SIP2013-21 SP2013-21 pp.121-126 |
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| EA, EMM | 2012-11-16 12:10 |
Oita | OITA Univ. | Auxiliary-function-based independent vector analysis with non-speech frame information for speech enhancement Masataka Suzuki (Univ. of Tokyo), Nobutaka Ono (NII), Toru Taniguchi, Masaru Sakai, Akinori Kawamura (Toshiba Corp.), Miquel Espi, Shigeki Sagayama (Univ. of Tokyo) EA2012-87 EMM2012-69 |
In this study, we discuss a technique to enhance the speech of interest in the noisy environment with using microphone a... [more] | EA2012-87 EMM2012-69 pp.35-38 |
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