情報処理学会インタラクション 2015 IPSJ Interaction INT /3/7 1,a) 1,b) 1,c) CD Robust PCA Subharmonic Summation MIREX2014 GUI GUI A Vocal Expression Ed
|
|
- みりあ さどひら
- 5 years ago
- Views:
Transcription
1 情報処理学会インタラクション 215 IPSJ Interaction INT15 215/3/7 1,a) 1,b) 1,c) CD Robust PCA Subharmonic Summation MIREX214 GUI GUI A Vocal Expression Editing System based on Singing Voice Separation and F Estimation for Music Recordings Ikemiya Yukara 1,a) Itoyama Katsutoshi 1,b) Yoshii Kazuyoshi 1,c) Abstract: This paper presents a novel system that enables users to edit vocal expressions of singing voices (e.g., vibrato, glissando, and kobushi) included in real-world music recordings while preserving the original accompanying sounds. Active music listening has recently gained a lot of attention for providing users with a way of modifing existing music signals as they like. In particular, editing accompanied singing voices is one of the most challenging problems. Although a promising method was proposed for directly converting the timbres of existing singing voices into those of another singer s voice, it had been infeasible to edit the characteristic patterns of singing F contours. In this paper we propose a method that significantly improves singing voice separation based on robust PCA (RPCA) and vocal F estimation based on subharmonic summation (SHS) by using the mutual dependency between these tasks (the proposed method took first place in the singing voice separation track of an international music recognition contest called MIREX 214). We developed a GUI for adding arbitrary kinds of vocal expressions to users specified regions of existing singing voices included in commercial CD recordings. 1. [1] CD MP3 1 Graduate School of Informatics, Kyoto University a) ikemiya@kuis.kyoto-u.ac.jp b) itoyama@kuis.kyoto-u.ac.jp c) yoshii@kuis.kyoto-u.ac.jp MIDI [2] [3,4] [5] 215 Information Processing Society of Japan 128
2 [6] TANDEM-STRAIGHT [7] F [8] F F [9] [1] CD GUI 1 F GUI F [11] F F F [12] [13] F Robust Principal Component Analysis (RPCA) [14] F F F MIREX214 [15] 1 *1 2. GUI (F) F 5Hz 8Hz F 3 F 2 [11] *1 ikemiya/demo/interaction215/ 215 Information Processing Society of Japan 129
3 ビブラート こぶし á ê ˆ グリスアップ グリスダウン 楽譜に指定された音高 Ä ˆ Ý ˆô ¾ â ê u ˆô ¾ 3 F 2 F F c (t) l c (t) h F F F á w 2 GUI F (small middle large) 2.3 Q Robust PCA (RPCA) [16] F GUI 3. ( 1) 2.2 F 3.2 F F F 3.1 Q Q [17] Q x(n) 215 Information Processing Society of Japan 13
4 4 X(n, k) = 1 n+ N k /2 N k { F j=n N k /2 x(j)a k(j n + N k /2) (1) a k (n) = w(n/n k ) exp( i2πnf k /f s ) N k = Q fs f k, Q = (2 1/fratio 1) 1 qrate k f k k [Hz] f s w(t) [, 1] fratio 1 qrate n 1 [msec] Q t f X(t, f) 3.2 F F F F 4 Robust PCA F Robust PCA Robust PCA (RPCA) [14] 2 minimize L + λ S 1 (subject to L + S = X) (2) X L S 1 L1 λ X RPCA L S [16] { 1 S(t, f) > L(t, f) M r (t, f) = otherwise (3) X(t, f) Subharmonic Summation F RPCA Xs rpca (t, f) Subharmonic Summation (SHS) [18] F SHS F F H(t, s) = N h n P (t, s + 12 log 2 n), (4) n=1 t s [cents] P (t, s) t s [cents] N h n n 1 SHS A *2 SHS H(t, s) F (t) F (t) = arg max H(t, s) (5) c (t) l s c (t) h c (t) l c (t) h t ([cents]) *2 replaygain.hydrogenaud.io/proposal/equal loudness.html 215 Information Processing Society of Japan 131
5 Original spectrum Original spectrum (vocal) 1 1 X(t, f) M b(t, f) M h (t, f) X s(t, f) RPCA mask Harmonic mask Masked spectrum X s(t, f) E(t, f) X shift(t, f) Estimated spectrum envelope Simply-shifted spectrum Corrected spectrum [cents] : RPCA F [cents] 6 : F RPCA F 5 F (F) [ Ht h w 2 1 < C(f) < Hh t + w 2 M h (t, f) = Ht h = F t + 12 log 2 h, 1 h H otherwise F t t F [cents] C(f) f [cents] H w [cents] RPCA X s (t, f) X m (t, f) X s (t, f) = M r (t, f)m h (t, f)x(t, f), X m (t, f) = X(t, f) X s (t, f) (6) 3.3 X s (t, f) X m (t, f) [Hz] a [cents] 12 log 2 a [cents] b b [7] ( 6) F (DAP) [19] E(t, f) m E(t, f) X shift (t, f) = A t X s (t, f m) (7) E(t, f m) A t X new (t, f) = X m (t, f m) + b X shift (t, f) (8) 3.4 Q Q [17] Q [2] 4. F 215 Information Processing Society of Japan 132
6 db RPCA RPCA-F RPCA-F-GT Ideal 1 MIREX214 NSDR [db] [22] [23] [24] [25] db 5 SDR SIR SAR NSDR 3 RPCA 25 RPCA-F RPCA-F-GT 2 Ideal SDR SIR SAR NSDR 7 MIR-1K kHz 16bits Q fratio.5 (2 bins per octave) qrate.2 1 [msec] RPCA k [16] w 12 [cents] F RPCA: RPCA [16] RPCA-F: RPCA + RPCA-F-GT: RPCA + F Ideal: Q (STFT) MIR-1K * khz BSS Eval Toolbox [21] source-to-interference ratio (SIR) sources-to-artifacts ratio (SAR) source-to-distortion ratio (SDR) Normalized SDR (NSDR) SIR SAR SDR NSDR SDR (db) *3 sites.google.com/site/unvoicedsoundseparation/mir-1k [%] GW1 RNA1 [26] c: [cents] 8 7 RPCA (RPCA) (RPCA-F) 1 MIREX 214 [15] *4 [22 26] 4.3 F 2.2 F RWC Music Database: Popular Music (RWC-MDB-P-21) [27] 94 ±c [cents] F c F 8 (a) 5 [cents] c = 1 [cents] 1 % c c = 4 [cents] 9% F F 4 F *4 music-ir.org/mirex/wiki/214:singing Voice Separation Results 215 Information Processing Society of Japan 133
7 6 5 TANDEM-STRAIGHT [cents] 9 : TANDEM-STRAIGHT [cents] 1 í d ˆô ¾ íâ d d d / JUDY AND MARY : [Hz] [cents] 7 TANDEM-STRAIGHT [7] TANDEM-STRAIGHT 9 2 [cents] TANDEM-STRAIGHT 2 [cents] TANDEM-STRAIGHT (DAP) / JUDY AND MARY Q Web [28] 5. F GUI F 4.5 F F 215 Information Processing Society of Japan 134
8 Songle [13] 6. F GUI F F [11] JSPS , JST CREST OngaCREST [1] Goto, M.: Active Music Listening Interfaces Based on Signal Processing, ICASSP (27). [2] Yoshii, K., Goto, M., Komatani, K., Ogata, T. and Okuno, H. G.: Drumix: An Audio Player with Real-time Drum-part Rearrangement Functions for Active Music Listening, IPSJ Journal (27). [3] Itoyama, K., Goto, M., Komatani, K., Ogata, T. and Okuno, H. G.: Instrument Equalizer for Query-by- Example Retrieval: Improving Sound Source Separation based on Integrated Harmonic and Inharmonic Models, ISMIR (28). [4] Fritsch, J. and Plumbley, M. D.: Score Informed Audio Source Separation using Constrained Nonnegative Matrix Factorization and Score Synthesis, ICASSP (213). [5] Rafii, Z., Germain, F. G., Sun, D. L. and Mysore, G. J.: Combining Modeling of Singing Voice and Background Music for Automatic Separation of Musical Mixtures, IS- MIR (213). [6] Saito, T. and Goto, M.: Acoustic and Perceptual Effects of Vocal Training in Amateur Male Singing, INTER- SPEECH (29). [7] Kawahara, H., Morise, M., Takahashi, T., Nisimura, R., Irino, T. and Banno, H.: Tandem-STRAIGHT: A Temporally Stable Power Spectral Representation for Periodic Signals and Applications to Interference-free Spectrum, F, and Aperiodicity Estimation, ICASSP (28). [8] Ohishi, Y., Mochihashi, D., Kameoka, H. and Kashino, K.: Mixture of Gaussian Process Experts for Predicting Sung Melodic Contour with Expressive Dynamic Fluctuations, ICASSP (214). [9] (213). [1] Fujihara, H. and Goto, M.: Concurrent Estimation of Singing Voice F and Phonemes by Using Spectral Envelopes Estimated from Polyphonic Music, ICASSP, pp (211). [11] Ikemiya, Y., Itoyama, K. and Okuno, H. G.: Transcribing Vocal Expression from Polyphonic Music, ICASSP (214). [12] Bryan, N. J. and Mysore, G. J.: An Efficient Posterior Regularized Latent Variable Model for Interactive Source Separation, ICML (213). [13] Mauch, M. Songle: (213). [14] Candes, E. J., Li, X., Ma, Y. and Wright, J.: Robust Principal Component Analysis?, J. ACM (211). [15] Downie, J. S.: The Music Information Retrieval Evaluation Exchange (25 27): A Window into Music Information Retrieval Research Acoustical Science and Technology, Vol. 29, pp (28). [16] Huang, P.-S., Chen, S. D., Smaragdis, P. and Hasegawa- Johnson, M.: Singing-Voice Separation from Monaural Recordings Using Robust Principal Component Analysis, ICASSP (212). [17] Schorkhuber, C. and Klapuri, A.: Constant-Q Transform Toolbox for Music Processing, SMC Conference (21). [18] Hermes, D. J.: Measurement of pitch by subharmonic summation, J. Acoust. Soc. Am., Vol. 83, No. 1, pp (online), DOI: / (1988). [19] El-Jaroudi, A. and Makhoul, J.: Discrete All-Pole Modeling, IEEE Trans. on Signal Proc. (1991). [2] Irino, T. and Kawahara, H.: Signal Reconstruction from Modified Auditory Wavelet Transform, IEEE Trans. on Signal Proc. (1993). [21] Vincent, E., Gribonval, R. and Févotte, C.: Performance Measurement in Blind Audio Source Separation, IEEE Trans. on Audio, Speech and Language Processing, Vol. 14, pp (26). [22] Huang, P.-S., Kim, M., Hasegawa-Johnson, M. and Smaragdis, P.: Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks, ISMIR (214). [23] Yen, F., Luo, Y.-J. and Chi, T.-S.: Singing Voice Separation using Spectro-Temporal Modulation Features, IS- MIR (214). [24] Liutkus, A., Fitzgerald, D., Rafii, Z., Pardo, B. and Daudet, L.: Kernel Additive Models for Source Separation, IEEE TSP (214). [25] Rafii, Z. and Pardo, B.: Music/Voice Separation using the Similarity Matrix, ISMIR, pp (212). [26] Jeong, I.-Y. and Lee, K.: Vocal Separation from Monaural Music Using Temporal/Spectral Continuity and Sparsity Constraints, Signal Processing Letters, Vol. 21, pp (214). [27] Goto, M., Hashiguchi, H., Nishimura, T. and Oka, R.: RWC Music Database: Popular, Classical, and Jazz Music Databases, ISMIR, pp (22). [28] ac.jp/members/ikemiya/demo/interaction215/. 215 Information Processing Society of Japan 135
IPSJ SIG Technical Report Vol.2014-MUS-104 No /8/27 F0 1,a) 1,b) 1,c) 2,d) (F0) F0 F0 Graphical User Interface (GUI) F0 1. [1] CD MIDI [2] [3,
F,a),b),c) 2,d) (F) F F Graphical User Interface (GUI) F. [] CD MIDI [2] [3, 4] [5] 2 a) ikemiya@kuis.kyoto-u.ac.jp b) itoyama@kuis.kyoto-u.ac.jp c) yoshii@kuis.kyoto-u.ac.jp d) okuno@aoni.waseda.jp TANDEM-STRAIGHT
More information音楽音響信号の音源分離と能動的音楽鑑賞への応用 Sound source separation for music audio signals and its application to active music listening 援にとどまらず 一種の創作支援と見ることもできる 例えば ドラム
援にとどまらず 一種の創作支援と見ることもできる 例えば ドラムパートの音量や音色 パターンを MIDI ファイルを扱うかのごとく編集する [1] 楽器パートの音量バランスを個別に調整する [2] あるいは歌声と伴奏を分離する [3] といったことが可能である 音楽 CD や MP3 を再生するだけの受動的な音楽鑑賞体験を超 糸山克寿 (Katsutoshi ITOYAMA, Ph. D.) 京都大学大学院情報学研究科助教
More information力 出力 ÝÒ 源分離 f å 2 š ž 伸縮率 f g å ² f œå 1 ( F0) audio-to-audio 3 2 RNMF [2] DTW audio-to-audio [3] [4] MIDI 2.2 [5 10] Dannenberg [5] Verc
1,a) 1,b) 1,c) 1,d) 2,e) (MIDI ) audio-to-audio (RNMF) (DTW) DTW 1., (MIDI ) MIDI CD 2 1 1 MIDI CGM (Consumer Generated Music) Web Songrium [1] 2007 7 120 Web 1 2 / AIP a) wada@sap.ist.i.kyoto-u.ac.jp
More informationsigmus201007_fujihara.dvi
1 1 1) W-PST W-PST W-PST W-PST Singing voice conversion method by using spectral envelope of singing voice estimated from polyphonic music Hiromasa Fujihara 1 and Masataka Goto 1 This paper describes a
More informationpp d 2 * Hz Hz 3 10 db Wind-induced noise, Noise reduction, Microphone array, Beamforming 1
72 12 2016 pp. 739 748 739 43.60.+d 2 * 1 2 2 3 2 125 Hz 0.3 0.8 2 125 Hz 3 10 db Wind-induced noise, Noise reduction, Microphone array, Beamforming 1. 1.1 PSS [1] [2 4] 2 Wind-induced noise reduction
More informationOngaCREST [10] A 3. Latent Dirichlet Allocation: LDA [11] Songle [12] Pitman-Yor (VPYLM) [13] [14,15] n n n 3.1 [16 18] PreFEst [19] F
1,a) 2,b) 1,c) LPMCC MFCC Fluctuation Pattern (LDA) Songle Pitman-Yor (VPYLM) 3278 1. (MIR: Music Information Retrieval) [1 5] [6 8] 1 National Institute of Advanced Industrial Science and Technology (AIST)
More informationsigmusdemo.dvi
V IT Demonstrations: Introduction of Research by Young Researchers V Masatoshi Hamanaka Akira Nishimura Hiroshi Takaesu Shigeyuki Hirai Katsutoshi Itoyama Akiyuki Yoshino Shohei Kajiwara Nozomi Kigimoto
More information3 3) 6) 1) MPEG-7 2) MPEG-7 (A) (B) 2 9) Zils 10) (1) (2) 2.1 2
yoshii@kuis.kyoto-u.ac.jp m.goto@aist.go.jp okuno@i.kyoto-u.ac.jp 48% 82% Identification of Hihat Cymbals for Musical Audio Signals Using the Single Template Adaptation Method KAZUYOSHI YOSHII,MASATAKA
More informationIPSJ-MUS
Vol.29-MUS-81 No.2 29/7/29 1 2 1 ground-truth RWC 22 16 Method for Calculating the Subjective-based Music Similarity Measure Yusuke Hiraga, 1 Yasunori Ohishi 2 and Kazuya Takeda 1 In this paper, we propose
More informationIPSJ-SLP
F0 MFCC 1 2 3 1 1 1 1 MFCCF0 1 86.7% 90.2% A System for Automatic Discrimination between Singing and Speaking Voices on the Basis of Peak Interval of Spectral Change, F0, and MFCC Shimpei Aso, 1 Takeshi
More informationH(ω) = ( G H (ω)g(ω) ) 1 G H (ω) (6) 2 H 11 (ω) H 1N (ω) H(ω)= (2) H M1 (ω) H MN (ω) [ X(ω)= X 1 (ω) X 2 (ω) X N (ω) ] T (3)
72 12 2016 pp. 777 782 777 * 43.60.Pt; 43.38.Md; 43.60.Sx 1. 1 2 [1 8] Flexible acoustic interface based on 3D sound reproduction. Yosuke Tatekura (Shizuoka University, Hamamatsu, 432 8561) 2. 2.1 3 M
More informationIPSJ SIG Technical Report Vol.2012-MUS-96 No /8/10 MIDI Modeling Performance Indeterminacies for Polyphonic Midi Score Following and
MIDI 1 2 3 2 1 Modeling Performance Indeterminacies for Polyphonic Midi Score Following and Its Application to Automatic Accompaniment Nakamura Eita 1 Yamamoto Ryuichi 2 Saito Yasuyuki 3 Sako Shinji 2
More information1 1 CodeDrummer CodeMusician CodeDrummer Fig. 1 Overview of proposal system c
CodeDrummer: 1 2 3 1 CodeDrummer: Sonification Methods of Function Calls in Program Execution Kazuya Sato, 1 Shigeyuki Hirai, 2 Kazutaka Maruyama 3 and Minoru Terada 1 We propose a program sonification
More informationIPSJ SIG Technical Report Pitman-Yor 1 1 Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Aki
Pitman-Yor Pitman-Yor n-gram A proposal of the melody generation method using hierarchical pitman-yor language model Akira Shirai and Tadahiro Taniguchi Although a lot of melody generation method has been
More informationIPSJ SIG Technical Report Vol.2011-MUS-91 No /7/ , 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical St
1 2 1, 3 1 Design and Implementation on a System for Learning Songs by Presenting Musical Structures based on Phrase Similarity Yuma Ito, 1 Yoshinari Takegawa, 2 Tsutomu Terada 1, 3 and Masahiko Tsukamoto
More informationIPSJ SIG Technical Report Vol.2012-MUS-94 No.3 Vol.2012-SLP-90 No /2/ DTM 200 GUIN-Resonator: A system synthesizing voice with the styl
1 1 2 1 DTM 200 GUIN-Resonator: A system synthesizing voice with the style of Amami folk songs Daisuke Suguru, 1 Takashi Baba, 1 Masanori Morise 2 and Haruhiro Katayose 1 The recent spread of Karaoke and
More informationThe copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website
The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website by the author(s) under the agreement with the IPSJ.
More informationIPSJ SIG Technical Report Vol.2017-MUS-116 No /8/24 MachineDancing: 1,a) 1,b) 3 MachineDancing MachineDancing MachineDancing 1 MachineDan
MachineDancing: 1,a) 1,b) 3 MachineDancing 2 1. 3 MachineDancing MachineDancing 1 MachineDancing MachineDancing [1] 1 305 0058 1-1-1 a) s.fukayama@aist.go.jp b) m.goto@aist.go.jp 1 MachineDancing 3 CG
More information動画コンテンツ 動画 1 動画 2 動画 3 生成中の映像 入力音楽 選択された素片 テンポによる伸縮 音楽的構造 A B B B B B A C C : 4) 6) Web Web 2 2 c 2009 Information Processing S
1 2 2 1 Web An Automatic Music Video Creation System by Reusing Dance Video Content Sora Murofushi, 1 Tomoyasu Nakano, 2 Masataka Goto 2 and Shigeo Morishima 1 This paper presents a system that automatically
More informationIPSJ SIG Technical Report 1, Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays Nobutaka ITO, 1, 2 Yu KITANO, 1
1, 2 1 1 1 Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays Nobutaka ITO, 1, 2 Yu KITANO, 1 Nobutaka ONO 1 and Shigeki SAGAYAMA 1 This paper deals with instrument separation
More informationlog F0 意識 しゃべり 葉の log F0 Fig. 1 1 An example of classification of substyles of rap. ' & 2. 4) m.o.v.e 5) motsu motsu (1) (2) (3) (4) (1) (2) mot
1. 1 2 1 3 2 HMM Rap-style Singing Voice Synthesis Keijiro Saino, 1 Keiichiro Oura, 2 Makoto Tachibana, 1 Hieki Kenmochi 3 an Keiichi Tokua 2 This paper aresses rap-style singing voice synthesis. Since
More informationVol. 42 No. SIG 8(TOD 10) July HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Spe
Vol. 42 No. SIG 8(TOD 10) July 2001 1 2 3 4 HTML 100 Development of Authoring and Delivery System for Synchronized Contents and Experiment on High Speed Networks Yutaka Kidawara, 1 Tomoaki Kawaguchi, 2
More informationDuplicate Near Duplicate Intact Partial Copy Original Image Near Partial Copy Near Partial Copy with a background (a) (b) 2 1 [6] SIFT SIFT SIF
Partial Copy Detection of Line Drawings from a Large-Scale Database Weihan Sun, Koichi Kise Graduate School of Engineering, Osaka Prefecture University E-mail: sunweihan@m.cs.osakafu-u.ac.jp, kise@cs.osakafu-u.ac.jp
More informationIPSJ SIG Technical Report Vol.2013-GN-87 No /3/ Research of a surround-sound field adjustmen system based on loudspeakers arrangement Ak
1 1 3 Research of a surround-sound field adjustmen system based on loudspeakers arrangement Akiyama Daichi 1 Kanai Hideaki 1 Abstract: In this paper, we propose a presentation method that does not depend
More informationIPSJ SIG Technical Report Vol.2015-MUS-107 No /5/23 HARK-Binaural Raspberry Pi 2 1,a) ( ) HARK 2 HARK-Binaural A/D Raspberry Pi 2 1.
HARK-Binaural Raspberry Pi 2 1,a) 1 1 1 2 3 () HARK 2 HARK-Binaural A/D Raspberry Pi 2 1. [1,2] [2 5] () HARK (Honda Research Institute Japan audition for robots with Kyoto University) *1 GUI ( 1) Python
More information2_05.dvi
74 68 2 2012 pp. 74 85 43.60. c * 1, 2 1 2, 3 1 2 1 4 BM CSS CSS CSM BM CSM CSS CSS CSM Blind source separation, Sparseness, Binary mas, Musical noise, Cepstral smoothing, Separated speech signals 1. BSS
More information4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q
x-means 1 2 2 x-means, x-means k-means Bayesian Information Criterion BIC Watershed x-means Moving Object Extraction Using the Number of Clusters Determined by X-means Clustering Naoki Kubo, 1 Kousuke
More informationホットスポット 1 音リアクションイベント BIC GMM 2 3 BIC GMM HMM 10) SVM 11) 12) 13) Bayesian Information Criterion BIC 14) BIC M = M 1, M 2,,
1 1 2 2 BIC GMM Acoustic Event Detection for Finding Hot Spots in Podcasts Kouhei Sumi, 1 Tatsuya Kawahara, 1 Jun Ogata 2 and Masataka Goto 2 This paper presents a method to detect acoustic events that
More information2014 3
1 3 113 : 1 Copyright c 1 by Kobayashi Keisuke Desktop Music (DTM) DAW (Digital Audio Workstation) YAMAHA Vocaloid DTM MIDI (Musical Instruments Digital Interface) Lee (Non-negative Matrix Factorization;
More information[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing
1,a) 1,b) 1,c) 2012 11 8 2012 12 18, 2013 1 27 WEB Ruby Removal Filters Using Genetic Programming for Early-modern Japanese Printed Books Taeka Awazu 1,a) Masami Takata 1,b) Kazuki Joe 1,c) Received: November
More information149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :
Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
More information5) 2. Geminoid HI-1 6) Telenoid 7) Geminoid HI-1 Geminoid HI-1 Telenoid Robot- PHONE 8) RobotPHONE 11 InterRobot 9) InterRobot InterRobot irt( ) 10) 4
Remote Hand Clapping Transmission Using Hand Clapping Machines on Live Video Streaming Masato Takahashi, Yuto Kumon,ShuheyTakeda and Masahiko Inami Abstract We propose a remote transmission system of hand
More informationVol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
More informationIPSJ SIG Technical Report Vol.2009-BIO-17 No /5/26 DNA 1 1 DNA DNA DNA DNA Correcting read errors on DNA sequences determined by Pyrosequencing
DNA 1 1 DNA DNA DNA DNA Correcting read errors on DNA sequences determined by Pyrosequencing Youhei Namiki 1 and Yutaka Akiyama 1 Pyrosequencing, one of the DNA sequencing technologies, allows us to determine
More informationMicrosoft Word - toyoshima-deim2011.doc
DEIM Forum 2011 E9-4 252-0882 5322 252-0882 5322 E-mail: t09651yt, sashiori, kiyoki @sfc.keio.ac.jp CBIR A Meaning Recognition System for Sign-Logo by Color-Shape-Based Similarity Computations for Images
More informationIPSJ SIG Technical Report Vol.2017-MUS-115 No /6/17 1,a) 1 1 WORLD F0 Vocaloid F0 ipad 1. Vocaloid [1] UTAU *1 Vocaloid Vocaloid F0 VocaListene
1,a) 1 1 WORLD F0 Vocaloid F0 ipad 1. Vocaloid [1] UTAU *1 Vocaloid Vocaloid F0 VocaListener [2], [3] Vocaloid *2 VocaListener Vocaloid 1 University of Yamanashi a) g16tk018@yamanashi.ac.jp *1 http://utau2008.web.fc2.com/
More informationIPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe
1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Speech Visualization System Based on Augmented Reality Yuichiro Nagano 1 and Takashi Yoshino 2 As the spread of the Augmented Reality(AR) technology and service,
More informationIPSJ SIG Technical Report An Evaluation Method for the Degree of Strain of an Action Scene Mao Kuroda, 1 Takeshi Takai 1 and Takashi Matsuyama 1
1 1 1 An Evaluation Method for the Degree of of an Action Scene Mao Kuroda, 1 Takeshi Takai 1 and Takashi Matsuyama 1 The purpose of our research is to investigate structure of an action scene scientifically.
More information1: A/B/C/D Fig. 1 Modeling Based on Difference in Agitation Method artisoc[7] A D 2017 Information Processing
1,a) 2,b) 3 Modeling of Agitation Method in Automatic Mahjong Table using Multi-Agent Simulation Hiroyasu Ide 1,a) Takashi Okuda 2,b) Abstract: Automatic mahjong table refers to mahjong table which automatically
More information【教】⑮長島真人先生【本文】/【教】⑮長島真人先生【本文】
CD CD CD CD CD pp pp pp p p p p p pp PP p pp pp pp p Characteristics and Potentialities of the School Song Ware Wa Uminoko : Based on an Analysis and an Interpretation of the Song as a Music Teaching
More informationkut-paper-template.dvi
26 Discrimination of abnormal breath sound by using the features of breath sound 1150313 ,,,,,,,,,,,,, i Abstract Discrimination of abnormal breath sound by using the features of breath sound SATO Ryo
More information(MIRU2008) HOG Histograms of Oriented Gradients (HOG)
(MIRU2008) 2008 7 HOG - - E-mail: katsu0920@me.cs.scitec.kobe-u.ac.jp, {takigu,ariki}@kobe-u.ac.jp Histograms of Oriented Gradients (HOG) HOG Shape Contexts HOG 5.5 Histograms of Oriented Gradients D Human
More information1. HNS [1] HNS HNS HNS [2] HNS [3] [4] [5] HNS 16ch SNR [6] 1 16ch 1 3 SNR [4] [5] 2. 2 HNS API HNS CS27-HNS [1] (SOA) [7] API Web 2
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 657 8531 1 1 E-mail: {soda,matsubara}@ws.cs.kobe-u.ac.jp, {masa-n,shinsuke,shin,yosimoto}@cs.kobe-u.ac.jp,
More informationDPA,, ShareLog 3) 4) 2.2 Strino Strino STRain-based user Interface with tacticle of elastic Natural ObjectsStrino 1 Strino ) PC Log-Log (2007 6)
1 2 1 3 Experimental Evaluation of Convenient Strain Measurement Using a Magnet for Digital Public Art Junghyun Kim, 1 Makoto Iida, 2 Takeshi Naemura 1 and Hiroyuki Ota 3 We present a basic technology
More informationVol. 48 No. 3 Mar Evaluation of Music-noise Assimilation Playback for Portable Audio Players Akifumi Inoue, Shohei Bise, Satoshi Ichimura and
Vol. 48 No. 3 Mar. 2007 1 Evaluation of Music-noise Assimilation Playback for Portable Audio Players Akifumi Inoue, Shohei Bise, Satoshi Ichimura and Yutaka Matsushita Though the population of portable
More informationWISS 2018 [2 4] [5,6] Query-by-Dancing Query-by- Dancing Cao [1] OpenPose 2 Ghias [7] Query by humming Chen [8] Query by rhythm Jang [9] Query-by-tapp
Query-by-Dancing: WISS 2018. Query-by-Dancing Query-by-Dancing 1 OpenPose [1] Copyright is held by the author(s). DJ DJ DJ WISS 2018 [2 4] [5,6] Query-by-Dancing Query-by- Dancing Cao [1] OpenPose 2 Ghias
More informationVol. 43 No. 2 Feb. 2002,, MIDI A Probabilistic-model-based Quantization Method for Estimating the Position of Onset Time in a Score Masatoshi Hamanaka
Vol. 43 No. 2 Feb. 2002,, MIDI A Probabilistic-model-based Quantization Method for Estimating the Position of Onset Time in a Score Masatoshi Hamanaka, Masataka Goto,, Hideki Asoh and Nobuyuki Otsu, This
More informationVol.53 No (Mar. 2012) 1, 1,a) 1, 2 1 1, , Musical Interaction System Based on Stage Metaphor Seiko Myojin 1, 1,a
1, 1,a) 1, 2 1 1, 3 2 1 2011 6 17, 2011 12 16 Musical Interaction System Based on Stage Metaphor Seiko Myojin 1, 1,a) Kazuki Kanamori 1, 2 Mie Nakatani 1 Hirokazu Kato 1, 3 Sanae H. Wake 2 Shogo Nishida
More informationIPSJ SIG Technical Report Vol.2012-MUS-94 No.27 Vol.2012-SLP-90 No /2/4 1 2 J K L 3 ( ) GUI Musical Audio Signal Modeling for Joint Estimation
2 J K L 3 GUI Musical Audio Signal Modeling or Joint Estiation o Haronic, Inharonic, and Tibral Structure and its Application to Source Sepatation NAOKI YASURAOKA and HIROSHI G. OKUNO 2 This paper presents
More information1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2
CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for
More information16_.....E...._.I.v2006
55 1 18 Bull. Nara Univ. Educ., Vol. 55, No.1 (Cult. & Soc.), 2006 165 2002 * 18 Collaboration Between a School Athletic Club and a Community Sports Club A Case Study of SOLESTRELLA NARA 2002 Rie TAKAMURA
More information( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst
情報処理学会インタラクション 2015 IPSJ Interaction 2015 15INT014 2015/3/7 1,a) 1,b) 1,c) Design and Implementation of a Piano Learning Support System Considering Motivation Fukuya Yuto 1,a) Takegawa Yoshinari 1,b) Yanagi
More information28 Horizontal angle correction using straight line detection in an equirectangular image
28 Horizontal angle correction using straight line detection in an equirectangular image 1170283 2017 3 1 2 i Abstract Horizontal angle correction using straight line detection in an equirectangular image
More informationQ [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]
1,a) 2,3,b) Q ϵ- 3 4 Q greedy 3 ϵ- 4 ϵ- Comparation of Methods for Choosing Actions in Werewolf Game Agents Tianhe Wang 1,a) Tomoyuki Kaneko 2,3,b) Abstract: Werewolf, also known as Mafia, is a kind of
More information1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
More informationTHE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. E-mail: {ytamura,takai,tkato,tm}@vision.kuee.kyoto-u.ac.jp Abstract Current Wave Pattern Analysis for Anomaly
More information第62巻 第1号 平成24年4月/石こうを用いた木材ペレット
Bulletin of Japan Association for Fire Science and Engineering Vol. 62. No. 1 (2012) Development of Two-Dimensional Simple Simulation Model and Evaluation of Discharge Ability for Water Discharge of Firefighting
More information[2][3][4][5] 4 ( 1 ) ( 2 ) ( 3 ) ( 4 ) 2. Shiratori [2] Shiratori [3] [4] GP [5] [6] [7] [8][9] Kinect Choi [10] 3. 1 c 2016 Information Processing So
1,a) 2 2 1 2,b) 3,c) A choreographic authoring system reflecting a user s preference Ryo Kakitsuka 1,a) Kosetsu Tsukuda 2 Satoru Fukayama 2 Naoya Iwamoto 1 Masataka Goto 2,b) Shigeo Morishima 3,c) Abstract:
More information10_08.dvi
476 67 10 2011 pp. 476 481 * 43.72.+q 1. MOS Mean Opinion Score ITU-T P.835 [1] [2] [3] Subjective and objective quality evaluation of noisereduced speech. Takeshi Yamada, Shoji Makino and Nobuhiko Kitawaki
More informationIPSJ SIG Technical Report Vol.2010-GN-74 No /1/ , 3 Disaster Training Supporting System Based on Electronic Triage HIROAKI KOJIMA, 1 KU
1 2 2 1, 3 Disaster Training Supporting System Based on Electronic Triage HIROAKI KOJIMA, 1 KUNIAKI SUSEKI, 2 KENTARO NAGAHASHI 2 and KEN-ICHI OKADA 1, 3 When there are a lot of injured people at a large-scale
More information1911 F0 5) SingBySpeaking F0 F0 F0 4 F0 2. F0 4) 5) rate extent 6) rate 5.6 [Hz] extent 87 [cent] F0 5.2 [%] F0 SingBySpeaking 7) F0 Fig. 1 1 F0 F0 co
Vol. 52 No. 5 1910 1922 (May 2011) This paper describes the details of singing database for analyzing the differences of musical expressions ( and portamento) among professional singers and the effective
More informationInput image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L
1,a) 1,b) 1/f β Generation Method of Animation from Pictures with Natural Flicker Abstract: Some methods to create animation automatically from one picture have been proposed. There is a method that gives
More informationIPSJ SIG Technical Report Vol.2011-MUS-90 No /5/ , 3 1 Design and Implementation of a Drumstick with Stroke Recognition Function for Inte
1 2 1, 3 1 Design and Implementation of a Drumstick with Stroke Recognition Function for Integration of Real and Virtual Drums Hiroyuki Kanke, 1 Yoshinari Takegawa, 2 Tsutomu Terada 1 and Masahiko Tsukamoto
More informationB HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int
SOA 1 1 1 1 (HNS) HNS SOA SOA 3 3 A Service-Oriented Platform for Feature Interaction Detection and Resolution in Home Network System Yuhei Yoshimura, 1 Takuya Inada Hiroshi Igaki 1, 1 and Masahide Nakamura
More informationVol. 50 No (Dec. 2009) Phenakistoscope Player 1, Phenakistoscope Player Phenakistoscope Player Phenakistoscope Player Sig
Vol. 50 No. 12 2954 2963 (Dec. 2009) Phenakistoscope Player 1, 2 3 1 2 1830 1 Phenakistoscope Player Phenakistoscope Player Phenakistoscope Player SightSound -Phenakistoscope- Media Performance System
More information情報処理学会研究報告 IPSJ SIG Technical Report Vol.2011-MUS-89 No /2/12 NMF NMF NMF NMF NMF NMF Matrix Generation Using Probabilistic Spectrum Enve
NMF 1 2 2 NMF NMF NMF NMF NMF Matrix Generation Using Probabilistic Spectrum Envelope for Mixed Music Analysis Toru Nakashika, 1 Tetsuya Takiguchi 2 and Yasuo Ariki 2 NMF (Non-negative Matrix Factorization)
More information(a) 1 (b) 3. Gilbert Pernicka[2] Treibitz Schechner[3] Narasimhan [4] Kim [5] Nayar [6] [7][8][9] 2. X X X [10] [11] L L t L s L = L t + L s
1 1 1, Extraction of Transmitted Light using Parallel High-frequency Illumination Kenichiro Tanaka 1 Yasuhiro Mukaigawa 1 Yasushi Yagi 1 Abstract: We propose a new sharpening method of transmitted scene
More information情報処理学会研究報告 IPSJ SIG Technical Report Vol.2011-MBL-57 No.27 Vol.2011-UBI-29 No /3/ A Consideration of Features for Fatigue Es
1 1 1 1 1 5 1 2 1 A Consideration of Features for Fatigue Estimation by Gait Analysis Using Accelerometer Hidekazu Higashi, 1 Tadashi Shigeoka, 1 Tsuyoshi Itokawa, 1 Teruaki Kitasuka 1 and Masayoshi Aritsugi
More information& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
More information1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf
1,a) 2,b) 4,c) 3,d) 4,e) Web A Review Supporting System for Whiteboard Logging Movies Based on Notes Timeline Taniguchi Yoshihide 1,a) Horiguchi Satoshi 2,b) Inoue Akifumi 4,c) Igaki Hiroshi 3,d) Hoshi
More information7) 8) 9),10) 11) 18) 11),16) 18) 19) 20) Vocaloid 6) Vocaloid 1 VocaListener1 2 VocaListener1 3 VocaListener VocaListener1 VocaListener1 Voca
VocaListener2: 1 1 VocaListener2 VocaListener VocaListener2 VocaListener2 VocaListener VocaListener2 VocaListener2: A Singing Synthesis System Mimicking Voice Timbre Changes in Addition to Pitch and Dynamics
More informationIPSJ SIG Technical Report Vol.2010-NL-199 No /11/ treebank ( ) KWIC /MeCab / Morphological and Dependency Structure Annotated Corp
1. 1 1 1 2 treebank ( ) KWIC /MeCab / Morphological and Dependency Structure Annotated Corpus Management Tool: ChaKi Yuji Matsumoto, 1 Masayuki Asahara, 1 Masakazu Iwatate 1 and Toshio Morita 2 This paper
More informationIPSJ SIG Technical Report Vol.2009-DPS-141 No.23 Vol.2009-GN-73 No.23 Vol.2009-EIP-46 No /11/27 t-room t-room 2 Development of
t-room 1 2 2 2 2 1 1 2 t-room 2 Development of Assistant System for Ensemble in t-room Yosuke Irie, 1 Shigemi Aoyagi, 2 Toshihiro Takada, 2 Keiji Hirata, 2 Katsuhiko Kaji, 2 Shigeru Katagiri 1 and Miho
More informationMicrosoft Word - deim2011_new-ichinose-20110325.doc
DEIM Forum 2011 B7-4 252-0882 5322 E-mail: {t08099ai, kurabaya, kiyoki}@sfc.keio.ac.jp A Music Search Database System with a Selector for Impressive-Sections of Continuous Data Aya ICHINOSE Shuichi KURABAYASHI
More information2 DS SS (SS+DS) Fig. 2 Separation algorithm for motorcycle sound by combining DS and SS (SS+DS). 3. [3] DS SS 2 SS+DS 1 1 B SS SS 4. NMF 4. 1 (NMF) Y
a) Separation of Motorcycle Sound by Near Field Microphone Array and Nonnegative Matrix Factorization Chisaki YOSHINAGA, Nonmember, Yosuke TATEKURA a), Member, Kazuaki HAMADA, and Tetsuya KIMURA, Nonmembers
More informationIPSJ SIG Technical Report Vol.2012-CG-148 No /8/29 3DCG 1,a) On rigid body animation taking into account the 3D computer graphics came
3DCG 1,a) 2 2 2 2 3 On rigid body animation taking into account the 3D computer graphics camera viewpoint Abstract: In using computer graphics for making games or motion pictures, physics simulation is
More informationDT pdf
131 71 71 71 71 71 7 1 71 71 71 71 71 71 71 7 1 71 71 71 71 71 71 71 71 71 71 7 1 71 71 71 71 7 1 71 71 71 71 71 71 71 71 71 71 71 7 1 71 71 71 71 71 71 71 71 7 1 71 71 7 1 71 71 71 71 71 71 71 71 7 1
More information258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System
Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.
More informationDEIM Forum 2009 E
DEIM Forum 2009 E5-3 464-8601 1 606-8501 464 8601 1 E-mail: lifushi@arch.itc.nagoya-u.ac.jp, mayumi@mm.media.kyoto-u.ac.jp, {hirano,kajita,mase}@itc.nagoya-u.ac.jp Abstract Study on a Recipe Recommendation
More informationFig. 2 Signal plane divided into cell of DWT Fig. 1 Schematic diagram for the monitoring system
Study of Health Monitoring of Vehicle Structure by Using Feature Extraction based on Discrete Wavelet Transform Akihisa TABATA *4, Yoshio AOKI, Kazutaka ANDO and Masataka KATO Department of Precision Machinery
More information, (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,, i
25 Estimation scheme of indoor positioning using difference of times which chirp signals arrive 114348 214 3 6 , (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,,
More informationHP cafe HP of A A B of C C Map on N th Floor coupon A cafe coupon B Poster A Poster A Poster B Poster B Case 1 Show HP of each company on a user scree
LAN 1 2 3 2 LAN WiFiTag WiFiTag LAN LAN 100% WiFi Tag An Improved Determination Method with Multiple Access Points for Relative Position Estimation Using Wireless LAN Abstract: We have proposed a WiFiTag
More information( ) fnirs ( ) An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fuji
1 1 2 3 4 ( ) fnirs () An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fujii, 1 Shinpei Nagae, 2 Koji Kazai 3 and Haruhiro Katayose
More information28 TCG SURF Card recognition using SURF in TCG play video
28 TCG SURF Card recognition using SURF in TCG play video 1170374 2017 3 2 TCG SURF TCG TCG OCG SURF Bof 20 20 30 10 1 SURF Bag of features i Abstract Card recognition using SURF in TCG play video Haruka
More information人工知能学会研究会資料 SIG-KBS-B Analysis of Voting Behavior in One Night Werewolf 1 2 Ema Nishizaki 1 Tomonobu Ozaki Graduate School of Integrated B
人工知能学会研究会資料 SIG-KBS-B508-09 Analysis of Voting Behavior in One Night Werewolf 1 2 Ema Nishizaki 1 Tomonobu Ozaki 2 1 1 Graduate School of Integrated Basic Sciences, Nihon University 2 2 College of Humanities
More informationIPSJ SIG Technical Report Vol.2019-MUS-123 No.23 Vol.2019-SLP-127 No /6/22 Bidirectional Gated Recurrent Units Singing Voice Synthesi
Bidirectional Gated Recurrent Units Singing Voice Synthesis Using Bidirectional Gated Recurrent Units. [] (HMM) [] [3], [4] Kobe University MEC Company Ltd. (Text to Speech: TTS) [5].. 3Hz Hz c 9 Information
More information2013 M
2013 M0110453 2013 : M0110453 20 1 1 1.1............................ 1 1.2.............................. 4 2 5 2.1................................. 6 2.2................................. 8 2.3.................................
More information独立行政法人情報通信研究機構 Development of the Information Analysis System WISDOM KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the infor
独立行政法人情報通信研究機構 KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the information analysis system WISDOM as a research result of the second medium-term plan. WISDOM has functions that
More informationAUTOMATIC MEASUREMENTS OF STREAM FLOW USING FLUVIAL ACOUSTIC TOMOGRAPHY SYSTEM Kiyosi KAWANISI, Arata, KANEKO Noriaki GOHDA and Shinya
2010 9 AUTOMATIC MEASUREMENTS OF STREAM FLOW USING FLUVIAL ACOUSTIC TOMOGRAPHY SYSTEM 1 2 3 4 Kiyosi KAWANISI, Arata, KANEKO Noriaki GOHDA and Shinya NIGO 1 739-8527 1-4-1 2 739-8527 1-4-1 3 723-0047 12-2
More informationGSP_SITA2017_web.key
ytnk@cc.tuat.ac.jp 25 DFT spectrum 2 15 1 5 1 2 3 Frequency index 4 5 25 15 1 DFT spectrum 2 5 1 2 3 Frequency index 4 5 .8 GFT spectrum.6 1.4.2 5 1 15 Graph frequency (eigenvalue) 1 GFT
More information[2] 2. [3 5] 3D [6 8] Morishima [9] N n 24 24FPS k k = 1, 2,..., N i i = 1, 2,..., n Algorithm 1 N io user-specified number of inbetween omis
1,a) 2 2 2 1 2 3 24 Motion Frame Omission for Cartoon-like Effects Abstract: Limited animation is a hand-drawn animation style that holds each drawing for two or three successive frames to make up 24 frames
More informationFig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).
Fig. 1 The scheme of glottal area as a function of time Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels). Fig, 4 Parametric representation
More informationIPSJ SIG Technical Report Vol.2014-CG-155 No /6/28 1,a) 1,2,3 1 3,4 CG An Interpolation Method of Different Flow Fields using Polar Inter
,a),2,3 3,4 CG 2 2 2 An Interpolation Method of Different Flow Fields using Polar Interpolation Syuhei Sato,a) Yoshinori Dobashi,2,3 Tsuyoshi Yamamoto Tomoyuki Nishita 3,4 Abstract: Recently, realistic
More informationa) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a
a) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a), Tetsuo SAWARAGI, and Yukio HORIGUCHI 1. Johansson
More information26 Development of Learning Support System for Fixation of Basketball Shoot Form
26 Development of Learning Support System for Fixation of Basketball Shoot Form 1175094 ,.,,.,,.,,.,,,.,,,,.,,,.,,,,, Kinect i Abstract Development of Learning Support System for Fixation of Basketball
More informationFUJII, M. and KOSAKA, M. 2. J J [7] Fig. 1 J Fig. 2: Motivation and Skill improvement Model of J Orchestra Fig. 1: Motivating factors for a
/Specially issued Original Paper QOL 1 1 A Proposal of Value Co-creation Model to Promote Elderly People s Community Activities Concerning QOL Improvement Case Studies of Successful Social Activities by
More informationIPSJ SIG Technical Report Vol.2013-MUS-101 No /12/23 DropNotes 1,a) 1,b) 1,c) 2,d) DropNotes Abstract: We have focused on audio recording and ed
DropNotes 1,a) 1,b) 1,c) 2,d) DropNotes Abstract: We have focused on audio recording and editing manipulation, and developed an interface Drop- Notes in which bottles and droplets are used to record and
More information(a) F 0 (b) F 0 図 1 歌声 F0 の時間的制約 ラリを作る仕組みを構築するなどの応用が考えられる. 実 験では, 実際に市販楽曲から歌い方要素を抽出できることを 確認する. 2. 問題設定 本稿で扱う問題をまとめると以下のようになる. 入力 : 伴奏付き歌唱 / 歌唱音高列 出力
伴奏付き歌唱に含まれる歌い方要素の個別抽出 池宮由楽 1,a) 糸山克寿 1,b) 奥乃博 1,c) 概要 : 本稿では, 伴奏付き歌唱に含まれるビブラートやこぶしといった歌い方要素を個別に抽出する手法について述べる. 歌い方要素は歌唱者の個人性を強く反映し, それらを個別に検出しパラメータ化することで,CGM や MIR への多様な応用が可能となる. 本手法では, ユーザが簡易に取得できる歌唱の音高列を事前知識として用いる.
More information1 7.35% 74.0% linefeed point c 200 Information Processing Society of Japan
1 2 3 Incremental Linefeed Insertion into Lecture Transcription for Automatic Captioning Masaki Murata, 1 Tomohiro Ohno 2 and Shigeki Matsubara 3 The development of a captioning system that supports the
More informationGaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] [7] Fang [1],
1 1 1 Structure from Motion - 1 Ville [1] NAC EMR-9 [2] 1 Osaka University [3], [4] 1 1(a) 1(c) 9 9 9 c 216 Information Processing Society of Japan 1 Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b)
More information