研究者詳細 - 水町　光徳

論文 - 水町　光徳

分割表示195 件中 61 - 80 件目／全件表示 >>

Simultaneous measurement of time-invariant linear and nonlinear, and random and extra responses using frequency domain variant of velvet noise 査読有り

Kawahara H., Sakakibara K.I., Mizumachi M., Morise M., Banno H.

2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings 174 - 183 2020年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

We introduce a new acoustic measurement method that can measure the linear time-invariant response, the nonlinear time-invariant response, and random and time-varying responses simultaneously. The method uses a set of orthogonal sequences made from a set of unit FVNs (Frequency domain variant of Velvet Noise), a new member of the TSP (Time Stretched Pulse). FVN has a unique feature that other TSP members do not. It is a high degree of design freedom that makes the proposed method possible without introducing extra equipment. We introduce two useful cases using two and four orthogonal sequences and illustrates their use using simulations and acoustic measurement examples. We developed an interactive and realtime acoustic analysis tool based on the proposed method. We made it available in an open-source repository. The proposed response analysis method is general and applies to other fields, such as auditory-feedback research and assessment of sound recording and coding.

Scopus

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Performance evaluation of power-saving audio reproduction 査読有り国際誌

M. Mizumachi, T. Nakashima, M. Nakagawara

Proc. E-Forum Acousticum 2020 Paper ID: 321 2020年12月

[Keynote Lecture] Acoustic Beamforming for Selective Listening Under Noisy Environments 招待有り査読有り

M. Mizumachi

Proc. 4th International Conference on Technology and Social Science (ICTSS2020) IPS-12 Keynote Lecture 2020年12月

Perceptual Evaluation of Power-saving Audio Playback Algorithm Based on Auditory Characteristics 招待有り査読有り

M. Nakagawara, M. Mizumachi

Proc. 4th International Conference on Technology and Social Science (ICTSS2020) IPS-12-04 2020年12月

Comparison of Subjective Characteristics Between Binaural Rendering and Stereo Width Control Method 招待有り査読有り

Y. Ueno, M. Mizumachi, T. Horiuchi

Proc. 4th International Conference on Technology and Social Science (ICTSS2020) IPS-12-03 2020年12月

Proposal of Digital Touch Panel Switch for Easy Addition and Deletion of Panels 招待有り査読有り

R. Iwaizono, M. Mizumachi, S. Serikawa

Proc. 4th International Conference on Technology and Social Science (ICTSS2020) IPS-12-01 2020年12月

利用価値の高い音声データの録音手順招待有り査読有り

榊原健一, 河原英紀, 水町光徳

日本音響学会誌 ( 一般社団法人日本音響学会 ) 76 ( 6 ) 343 - 350 2020年06月

Relationship between objective and subjective evaluation of heavily-distorted speech signals 査読有り国際誌

M. Mizumachi

Proc. 12th Speech in Noise Workshop P-19 2020年01月

Perceptual evaluation of binaural rendering and stereo width control in headphone reproduction 査読有り

Ueno Y., Mizumachi M., Horiuchi T.

148th Audio Engineering Society International Convention 2020年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Two-channel stereophonic sound reproduction is one of the most important issues in audio engineering. Most of stereo music sources, however, cannot naturally reproduce spatial impression through earphones and headphones. In this study, stereo sources are converted by either binaural rendering or stereo width control. The former convolves head-related impulse responses into the original stereo sources, and the latter shrinks the perceptual spatial width by adding the monaural signal. Perceptual differences in between the above methods are investigated on several spatial attributes. It is confirmed that the binaural rendering is suited to reproduce the spatial impression related to the whole sound field and the stereo width control is suitable for naturally characterizing the spatial attributes for individual sound sources.

Scopus

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Frequency domain variant of velvet noise and its application to acoustic measurements 査読有り国際誌

H. Kawahara, K. Sakakibara, M. Mizumachi, H. Banno, M. Morise, and T. Irino

Proc. APSIPA ASC 2019 2019年11月

Frequency domain variant of Velvet noise and its application to acoustic measurements 査読有り国際誌

Kawahara H., Sakakibara K.I., Mizumachi M., Banno H., Morise M., Irino T.

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019 1523 - 1532 2019年11月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

We propose a new family of test signals for acoustic measurements such as impulse response, nonlinearity, and the effects of background noise. The proposed family complements difficulties in existing families, the Swept-Sine (SS), pseudo-random noise such as the maximum length sequence (MLS). The proposed family uses the frequency domain variant of the Velvet noise (FVN) as its building block. An FVN is an impulse response of an all-pass filter and yields the unit impulse when convolved with the time-reversed version of itself. In this respect, FVN is a member of the time-stretched pulse (TSP) in the broadest sense. The high degree of freedom in designing an FVN opens a vast range of applications in acoustic measurement. We introduce the following applications and their specific procedures, among other possibilities. They are as follows. a) Spectrum shaping adaptive to background noise. b) Simultaneous measurement of impulse responses of multiple acoustic paths. d) Simultaneous measurement of linear and nonlinear components of an acoustic path. e) Automatic procedure for time axis alignment of the source and the receiver when they are using independent clocks in acoustic impulse response measurement. We implemented a reference measurement tool equipped with all these procedures. The MATLAB source code and related materials are open-sourced and placed in a GitHub repository.

DOI： 10.1109/APSIPAASC47483.2019.9023247

Scopus

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Neural Network-based Broadband Beamformer with Less Distortion 査読有り

M. Mizumachi

Proc. International Congress on Acoustics （ICA 2019） 2019年09月

Neural network-based direction-of-arrival estimation with cross correlation function 査読有り

Mizumachi M., Okita K.

Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019 2019年07月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019. All rights reserved. Direction-of-arrival (DOA) estimation has been one of the important issues in acoustic signal processing. It is well known that the DOA can be estimated based on the cross correlation with stereo observations. It is, however, difficult to accurately estimate the DOA because the cross correlation-based function could not yield the sharp spatial feature. On the other hand, the multiple signal classification (MUSIC) algorithm provides the pointed spatial feature but it requires the exact number of sound sources in advance. In this paper, the cross correlation-based spatial feature is sharpened using a neural network. The neural network is trained using the cross correlation-based spatial feature calculated from the stereo observations and the binary teacher signals. It is confirmed that the non-linear cross correlation-based spatial feature has an extremely sharp peak at the direction of the target sound source without the information on the number of sound sources

Scopus

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Performance evaluation of a neural network-based beamformer with a small-scale microphone array 査読有り

M. Mizumachi,K. Eguchi

Inter-noise 2019年06月

Proposal of power-saving audio playback algorithm based on auditory masking 査読有り

Nakashima T., Nakagawara M., Mizumachi M.

AES 146th International Convention 2019年03月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2019 The Audio Engineering Society (AES). All rights reserved. Power consumption is an important issue while listening to music using portable audio devices. The authors have previously proposed a power-saving audio playback algorithm, which has adjusted filter-bank outputs according to our auditory characteristics. It succeeds in reducing power consumption but causes perceptual distortion. In this paper, the power-saving audio playback algorithm is improved based on auditory masking, which attenuates audio components below the masking threshold. As a result of a listening test, it is confirmed that the proposed method is subjectively superior to the previous method with the same power consumption.

Scopus

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Neural network-based broadband beamformer with less distortion 査読有り

Mizumachi M.

Proceedings of the International Congress on Acoustics 2019-September 2760 - 2764 2019年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Beamforming has been one of the important issues in the field of multi-channel signal processing including acoustic signal processing. A wide variety of beamformers have been proposed for each application. In general, acoustic beamforming deals with broadband signals such as speech signals compared to narrowband beamforming for antenna array and radar applications. Recently, neural network-based non-linear beamformers become popular but have a problem that causes an annoying non-linear distortion on the output signal. In the case of speech enhancement, it is a serious problem because our auditory system is highly sensitive to artificial non-linear distortion on speech signals. This paper proposes to solve the problem with the relaxed dual cost functions in the neural network-based beamformer for speech enhancement. The primary cost function aims at sharpening the beam-pattern, and the second cost function is introduced to achieve decreasing speech distortion. Those cost functions are alternatively used for optimizing the beam-pattern in the frequency range of speech signals. The feasibility of the proposed method is confirmed by carrying out a listening test.

DOI： 10.18154/RWTH-CONV-239926

Scopus

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Neural network-based direction-of-arrival estimation with cross correlation function 査読有り

Mizumachi M., Okita K.

Proceedings of the 26th International Congress on Sound and Vibration, ICSV 2019 2019年01月

担当区分：筆頭著者,　責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Direction-of-arrival (DOA) estimation has been one of the important issues in acoustic signal processing. It is well known that the DOA can be estimated based on the cross correlation with stereo observations. It is, however, difficult to accurately estimate the DOA because the cross correlation-based function could not yield the sharp spatial feature. On the other hand, the multiple signal classification (MUSIC) algorithm provides the pointed spatial feature but it requires the exact number of sound sources in advance. In this paper, the cross correlation-based spatial feature is sharpened using a neural network. The neural network is trained using the cross correlation-based spatial feature calculated from the stereo observations and the binary teacher signals. It is confirmed that the non-linear cross correlation-based spatial feature has an extremely sharp peak at the direction of the target sound source without the information on the number of sound sources

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084016380&origin=inward

Neural network-based beamformer with dual cost functions 査読有り

M. Mizumachi,K. Eguchi

Proc. WESPAC 2018年11月

Noise Reduction using Neural Network Trained with Amplitude Spectra 査読有り

M. Mizumachi,R. Otani

Inter-noise 2018年08月

What is speech intelligibility? 査読有り

M. Mizumachi

Proc. 25th International Congress on Sound and Vibration (ICSV25) 2018年07月

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