Supervisor: Professor Dr. Kazushi Nishimoto School of Knowledge Science Japan Advanced Institute of Science and Technology March 2013
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1 JAIST Reposi Title 人 間 と 計 算 機 の 協 調 的 な 音 高 判 定 技 術 とその 応 用 に 関 する 研 究 Author(s) 伊 藤, 直 樹 Citation Issue Date Type Thesis or Dissertation Text version author URL Rights Description Supervisor: 西 本 一 志, 知 識 科 学 研 究 科, 博 士 Japan Advanced Institute of Science and
2 Supervisor: Professor Dr. Kazushi Nishimoto School of Knowledge Science Japan Advanced Institute of Science and Technology March 2013
3 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI 2 Voice-to-MIDI
4 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI TVM TVM Voice-to-MIDI i
5 : : BPM = ii
6 MusiCuddle MusiCuddle iii
7 A Voice-to-MIDI 93 A A A A A A A A A A A A A iv
8 Voice-to-MIDI EnvJamm A MusiCuddle C3-C
9 A.1 or or or
10 1 1.1 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI 3
11 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI 2 4
12 Voice-to-MIDI DTM Desk Top Music MIDI Musical Instrument Digital Interface [1][2][3] Avid Protools[4] Steinberg Cubase[5] DAW MIDI WAVE WAVE [6][7] MIDI MIDI MIDI WAVE MIDI 5
![[1][2][3] Avid Protools[4] Steinberg](/docs-images/43/23124068/images/page_12.jpg "Cubase[5] DAW MIDI WAVE WAVE [6][7] MIDI MIDI")
13 [8] 1 [9] Voice-to-MIDI [10][11][12][13][14][15] [16][17][18][19] Voice-to-MIDI Voice-to-MIDI Query By Humming QBH [20][21] Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI F0 3. 6
14 4. [12] 1 1 F0 F0 50cent [22] F0 12 F0 [7][13] F0 1 F0 [23] Voiceto-MIDI 7
![F0 [7][13] F0 1 F0](/docs-images/43/23124068/images/page_14.jpg "[23] Voiceto-MIDI")
15 [24] SongTapper.com[25] [26][27] Coloring-in Piano[28] MIDI 2 MIDI [29] MIDI MIDI 8
![com[25] [26][27]](/docs-images/43/23124068/images/page_15.jpg "Coloring-in Piano[28]")
16 2 [30][31] [32] DTM [34] MIDI [29] MIDI [35] HCI human-computer interaction 9
![[35] HCI](/docs-images/43/23124068/images/page_16.jpg "human-computer")
17 2 1.3 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI 9 Voice-to-MIDI 10
18 3 EnvJamm EnvJamm 2 Voice-to-MIDI 1 4 MusiCuddle MusiCuddle Iso-principle 1 5 Voice-to-MIDI 11
19 2 3 4 MIDI Voice-to-MIDI Voice-to-MIDI 2.1 DTM Desk Top Music MIDI WAVE MIDI MIDI MIDI WAVE MIDI 12
20 [36] [37][38][39] RENCON[40] RENCON MIDI YAMAHA Vocaloid2[41] [42] MIDI MIDI MIDI MIDI PC MIDI DAW Coloring-in Piano[28] MIDI 2step MIDI [29] MIDI Vocaloid Vocalistener[43] 13
![MIDI PC MIDI DAW Coloring-in Piano[28] MIDI](/docs-images/43/23124068/images/page_20.jpg "2step MIDI [29] MIDI Vocaloid")
21 Vocaloid Internet Singer Song Writer [10] Finale [11] MIDI [44] Steinberg VSTi [46][47] [48][49] [50][51][52][53] [12][13] [45][54] MIDI 1 [9] 14
22 Voice-to-MIDI [10][11][12][13][14][15] [16][17][18][19] Voice-to-MIDI Voice-to-MIDI Query By Humming QBH [20][21] Voice-to-MIDI Voice-to-MIDI F0 F0 4. F F0 F0 (2) (3) F0 (4) 1 15
23 1 1 1 Voice-to-MIDI [10][12] [55][56] MIDI Voice-to-MIDI [13][22] [57] 1 [58] Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI MIDI 16
24 Voice-to-MIDI Voice-to-MIDI TVM Voice-to-MIDI 2.2 [59][60] Voice-to-MIDI [34] MIDI MIDI [61] [62] Step Entry Voice-to-MIDI [63][22][64] [12] Voice-to-MIDI [65] TVM 17
25 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI [66] : Voice-to-MIDI 1 18
26 2.1: 2.3 Voice-to-MIDI Voice-to-MIDI TVM TVM F0 PC Voice-to-MIDI TVM D2-F5 A4 = 440Hz MIDI 22050Hz 16bit, MIDI PC PC, 19
27 2.2: : 20
28 2.4: Voice-to-MIDI F F F0 F0 (STFT =2048samples : 100ms =128samples : 6ms) D2-F5 IFFT [67] cent F0 PC Keypress 21
29 1024sample 50ms Keypress 1024sample [68][69] 1 2 F0 D2-F5 6ms ms
30 2.5: 2 200ms F0 F0 FFT 90 PC TVM TVM A4 = 440Hz D2 F5 [70] 23
31 FFT 6ms 16 6ms BPM=2500 BPM= TVM TVM TVM
32 TVM BPM= Voice-to-MIDI Voice-to-MIDI 3 1. CMP: 2. RYN: [23] 3. BP2: [13] 25
33 CMP F0 TVM [22] 50cent 70ms 16 BPM=213 RYN [23] Linux MIDI [17] Ryynanen Accent Signal FFT BP2 KAWAI: Band Producer TVM HP: 2710p PC,. Shure: SM87A 2 PC PC1 BP2 BP2 MIDI Wave BP2 PC2 2710p PC TVM 26
34 PC1 BP2 MIDI TVM PC1 TVM PC2 PC1 PC1 PC2 CMP RYN BP2 Adobe: Audition TVM
35 2.1: 1 3 A B C D E F G H I A D Voice-to-MIDI 28
36 2.2: A BPM = 120 BP2 BP2 B Voice-to-MIDI : BPM= BPM=
37 2.3: A Mr. Children Over B C 11 3 D E Acid Black Cherry F G 1 H SMAP I BP
38 1. 2. Adobe: Audition1.0 Ensoniq: MR
39 2.4: 2.4 F
40 = F 1. = * = + + * F = 2* * : TVM F F0 CMP RYN BP2 TVM CMP RYN
41 4 CMP RYN BP TVM : BPM = 120 BPM = RYN E TVM E TVM F 34
42 TVM TVM 3 F TVM A, E, F 1 A, F TVM F TVM TVM A E F TVM A D F I 2 TVM E 35
43 98.7, 98.7, 99.7, 99.7 t BPM= , 96.6, 98.1, 98.1 t TVM ( ) 1 12 BPM= TVM
44 2.5: F CMP RYN BP F CMP, RYN, BP2, 2.6 BPM= BP2 CMP RYN 87.5, 84.7, 81.7, 77.1 E BPM=120 37
45 2.6: F BPM=120 CMP RYN BP F TVM [69] [69] F TVM 38
46 MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI 2.7 [23] Matti Ryynanen Anssi Klapuri 39
![2.7: [ ] 1 * 2.8 2 F0 2.](/docs-images/43/23124068/images/47-0.png "8 3 4 2.8 2.")
47 2.7: [ ] 1 * F : [ BPM=120 ] 40
![2.9: [ ] 1](/docs-images/43/23124068/images/48-0.png "* 2 F0 3 4")
48 2.9: [ ] 1 * 2 F
49 3 2 EnvJamm 3.1 soundscape [71] reweave EnvJamm 42
50 EnvJamm EnvJamm EnvJammer EnvJamm EnvJamm BGM 3.2 R. [71] R. [72] 43
51 [73] [74] MIDI Karmen Franinovic Recycled Soundscape [75][76] Beludire SonicBowls SonicBowls Beludire Public orchestration MIDI [77] Sound Dust MIDI [78][79][80] 44
52 EnvJamm 2 EnvJamm 3.1 etc. MIDI MIDI PC EnvJamm MIDI SMF EnvJamm EnvJamm 2 Voice-to-MIDI 45
53 3.1: EnvJamm D2-C#7 A4 = 440Hz MIDI 22050Hz 16bit, MIDI PC PC =2048samples : 100ms =128samples : 6ms D2-C#7 Microsoft Visual C 2005, Visual C DLL
54 3.1: A EnvJamm EnvJamm MIDI Dell Lattitude XT PC PC PC A 47
55 MIDI MIDI Program No A JAIST EnvJamm 5 MIDI 48
56 3.2: A A Envjamm A A 49
57 3.2: A MIDI JAIST 1 50
58 3.3: Dell Lattitude XT PC PC PC
59 3.4:
60 3.5: 3.6: 53
61 A EnvJamm 54
62 EnvJamm EnvJamm
63 4 2 MusiCuddle 4.1 BPSD Bihavioral and Psychological Symptoms of Dementia BPSD 56
64 MusiCuddle MusiCuddle Iso-principle [81] MusiCuddle Clark[82] Ragneskog [83] Svansdottir [84] Park [85] Nair [86] Isoprinciple [81] [87] 57
65 [88] [81] BPSD 1 MusiCuddle Iso-principle HDS-R [89] C I A 58
66 4.1: 4.4 MusiCuddle MusiCuddle 4.1 MusiCuddle 2 MIDI MusiCuddle 4.2 MIDI 1 MusiCuddle MusiCuddle 1 MusiCuddle MusiCuddle 59
67 4.1: 100ms 1 2 MusiCuddle F0 1 60
68 4.2: MusiCuddle MusiCuddle [90] [91] C3 C
69 MIDI [90] 96, J. S. 1 24, D. D MIDI C3 C C4 G 4 C3 C6 37 MIDI 62
70 4.2: Type Details Crescendo Decrescendo Bach Das Wohltemperierte Klavier Band 1, BWV Shostakovich 24 Preludes and Fugues, Op : MusiCuddle 1 MusiCuddle MusiCuddle 63
71 4.4: C3-C : 4.6: 64
72 4.5.1 MusiCuddle HDS-R /
73 4.7: MusiCuddle 2 MusiCuddle MusiCuddle Bluetooth Bluetooth 66
74 4.8: MusiCuddle MusiCuddle MusiCuddle MusiCuddle MusiCuddle MusiCuddle MusiCuddle
75 4.5.7 MusiCuddle MusiCuddle
76 MusiCuddle th D3 D4 1 G
77 4.3: (B) Bach 1 (S) 1 C, D, E A, B. A4 440Hz MusiCuddle Iso-principle D3 D4 70
78 4.4: MusiCuddle Iso-principle MusiCuddle 4 4 MusiCuddle MusiCuddle 71
79 4.8 2 MusiCuddle MusiCuddle 1 MusiCuddle 72
80 5 Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI Voice-to-MIDI 9 Voice-to-MIDI 73
81 Voice-to-MIDI [69] Voice-to-MIDI 3 EnvJamm EnvJamm 2 Voice-to-MIDI 1 EnvJamm 74
82 EnvJamm PC 4 MusiCuddle MusiCuddle Iso-principle 1 MusiCuddle Iso-principle MusiCuddle MusiCuddle MusiCuddle 75
83 MusiCuddle Voice-to-MIDI Voice-to-MIDI
84 ,. ATR NHK OG,. OB OG 77
85 OB OB OB. OB 2 78
86 [1] MIDI Manufacturers Association Incorporated [2] MIDI : ( MIDI ) 64(3), pp , [3] MIDI ISBN [4] Avid, Protools. [5] Steinberg Media Technologies GmbH, Cubase 7. [6] Sony Creative Software, ACID Pro 7. [7] Celemony Software GmbH, Melodyne. [8] pp [9]?( ) 60(11), pp , [10], Singer Song Writer 9 Professional [11] MakeMusic, Inc., Finale 2010, [12] YAMAHA XGworks ST [13] Band Producer
87 [14] pp [15] L. Prechelt and R. Typke, An interface for melody input, ACM Trans. on Computer-Human Interaction (TOCHI), Vol.8, No.2, pp , [16] C. C. Toh, B. Zhang, Y. Wang, Multiple-Feature Fusion Based Onset Detection for Solo Singing Voice, Proc. of ISMIR 2008, [17] M. Ryynanen, A. Klapuri, Modelling of Note Events for Singing Transcription, Proc. of ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio, [18] Lutz P. Rainer T.: An Interface for melody input, ACM Trans. on Computer-Human Interaction TOCHI Vol.8 No.2 pp [19] Alexandra U. Justin Z.: Melodic matching techniques for large music databases, Proc. of the seventh ACM int. conf. on Multimedia MULTI- MEDIA 99 pp [20] A. Ghias, J. Logan, D. Chamberlin and B. C. Smith: Query by humming: Musical Information Retrieval in an Audio Database, Proc. of ACM Multimedia 95, San Francisco, California, Nov [21] A. Uitdenbogerd and J. Zobel, Melodic matching techniques for large music databases, Proc. of the 7th ACM intl. conf. on Multimedia, pp.57-66, Orlando, Florida, [22] Vol.23 No.5 pp [23] M. Ryynanen, A. Klapuri, Automatic Transcription of Melody, Bass Line, and Chords in Polyphonic Music, Computer Music Journal, 32(3), pp.73-86,
88 [24] pp ISBN [25] SongTapper.com, html/ [26] Air Guitar World Championships 2010, [27] [28] : Coloring-in Piano :, 2001-MUS-42 Vol.2001 No.103 pp [29] : Coloring-in Piano 2, 2001-MUS-43 Vol.2001 No.104 pp [30] : : Never End pp , [31] : 2004-MUS-55 pp [32] pp ISBN X 1990 [33] pp ISBN X 1990 [34] MUS-34 pp [35] Z. Obrenovic, A flexible system for creating music while interacting with the computer, Proc. of the 13th annual ACM intl. conf. on Multimedia, pp ,
89 [36] DTM ISBN X [37] & ISBN [38] MIDI ISBN [39] XGworks SOL MIDI!! ISBN [40] RENCON, [41] Vocaloid [42] [43] : VocaListener :, MUS (50), pp.49-56, [44] MIDI Espressivo [45] M. Droettboom, I. Fujinaga, K. MacMillan, G. S. Chouhury, T. DiLauro, M. Patton, T. Anderson: Using the Gamera framework for the recognition of cultural heritage materials, Proc. of 2nd ACM/IEEE-CS joint conf. on Digital libraries, pp.11-17, Portland, Oregon, USA, [46] MusicLab, Inc., RealGuitar 2, [47] MusicLab, Inc., RealStrat, [48] Arturia, BRASS,
90 [49] Applied Acoustics Systems DVM Inc., Strum Electric GS-1, [50] : 6, pp.49-58, [51] : Movement 2000(94), pp.39-42, [52], Dahlstedt Palle, Nordahl Mats, : : CACIE,. 2005(14), pp.55-60, [53] :, 2008(78), pp , [54], FX4 [55] pp [56] pp [57],, : 36(7), pp , [58],,, : SingBySpeaking :. MUS 36(7), pp.25-32, [59] SLP-47 pp
91 [60] [61] L. A. Smith, E. F. Chiu and B. L. Scott, A Speech Interface for Building Musical Score Collections, Proc. of the 5th ACM conf. on Digital libraries, San Antonio, Texas, [62] Wildcat Canyon Software Inc.: Autoscore 2.0, [63] G. Haus and E. Pollastri, An Audio Front End for Query-by-Humming Systems, Proc. of the 2nd Intl. Symp. on Music Information Retrieval, pp.65-72, Indiana, USA, Oct [64] : MA , Vol.26, No.6, pp , [65] N. Kosugi, Y. Nishihara, T. Sakata, M. Yamamuro and K. Kushima, A practical query-by-humming system for a large music database, Proc. of the 8th ACM intl. conf. on Multimedia, pp , Marina del Rey, California, [66] p [67] pp [68] MIDI 2step 2006-EC-5 Vol.2006 pp [69] N. Itou and K. Nishimoto, A voice-to-midi system for singing melodies with lyrics, Proc. of the intl. conf. on ACE 07, pp , Salzburg, Austria,
92 [70] p [71] R. The Tuning of the World ISBN [72] R. The Tuning of the World p36, ISBN [73] R. The Tuning of the World p414, ISBN [74] pp [75] Karmen Franinovic, Yon Visell: Recycled soundscapes, Proc. of the 5th conf. on Designing interactive systems, p.317, [76] Recycled Soundscapes: [77], :,, Vol.10, No.1, pp.11-20, [78] MPC [79] SP-404SX 404SX/index.html [80] Native Instruments GmbH., KONTAKT 4, 85
93 [81] I. M. Altshuler, The past, present and future of musical therapy, Music therapy, Podolsky, E. Eds. Philosophical Library, pp.24-35, [82] Clark, M.E.: Use of Music to Decrease Aggressive behaviors in People with Dementia, J. Gerontological Nursing, pp.10-17, July, [83] Ragneskog, H., Kighlgren, M.: Music and Other Strategies to Improve the Care of Agitated Patients with Dementia, Scand J. Caring Sci., 11, pp , [84] H. B. Svansdottir and J. Snaedal, Music therapy in moderate and severe dementia of Alzheimer s type: a case-control study, International Psychogeriatrics, Int Psychogeriatr. vol. 18(4), pp , [85] H. Park and J. K. Pringle Specht, Effect of individualized music on agitation in individuals with dementia who live at home, J Gerontol Nurs, Vol. 35(8), pp.47-55, [86] B. K. Nair, C. Heim, C. Krishnan, C. D Este, J. Marley and J. Attia, The effect of Baroque music on behavioural disturbances in patients with dementia, Australasian Journal on Ageing, vol. 30(1), pp.11-15, [87] D. E. Michel and J. Pinson, Music Therapy In Principle And Practice, Charles C Thomas Publisher, [88] D. Grocke, and T. Wigram, Receptive Methods in Music Therapy: Techniques and Clinical Applications for Music Therapy Clinicians, Educators and Students, Jessica Kingsley Publishers, [89] Y. Imai and K. Hasegawa, The Revised Hasegawa s Dementia Scale (HDS- R) - evaluation of its usefulness as a screening test for dementia, Journal Hong Kong Coll Psychiatr, vol. 4, pp.20-24, [90]
94 [91] S. Ashida, The effect of reminiscence music therapy sessions on changes in depressive symptoms in elderly persons with dementia, Journal of Music Therapy, American Music Therapy Association, vol. 37(3), pp , [92] BEST SERVICE, CHRIS HEIN GUITARS. [93] GK [94] G50 [95] Godin [96] Jordi J.: Voice-controlled plucked bass guitar through two synthesis techniques, Proc. of the 5th int. conf. on NIME2005, pp , Vancouver, Canada, [97] Karjalainen M., Maki-Patola T., Kanerva A., Huovilainen A., Janis P.: Virtual Air Guitar, Proc. of the 117th Audio Engineering Soc. Conv. San Francisco, CA, USA, October 28-31, [98] Junichi K., James G., Dr. Laurent M.: Mountain Guitar: a Musical Instrument for Everyone, Proc. of the 7th int. conf. on NIME2007, pp , [99] : EZ-AG, [100] : EZ-EG, 87
95 [1] Voice-to-MIDI D Vol.J96-D No.4 pp , [2] Chika Oshima, Naoki Itou, Kazushi Nishimoto, Naohito Hosoi, Kiyoshi Yasuda, and Koichi Nakayama: An Accompaniment System for Healing Emotions of Patients with Dementia Who Repeat Stereotypical Utterances, Lecture Notes in Computer Science, B. Abdulrazak et al.(eds.), Springer, Vol. 6719, pp , [3] Chika Oshima, Naoki Itou, Kazushi Nishimoto, Kiyoshi Yasuda, Naohito Hosoi, Hiromi Yamashita, Koichi Nakayama, Etsuo Horikawa: A Music Therapy System for Patients with Dementia who Repeat Stereotypical Utterances, Journal of Information Processing, Vol. 21, No. 2 pp , [4] Naoki Itou, Kazushi Nishimoto: A voice-to-midi system for singing melodies with lyrics, Proc. of the int. conf. on ACE 07, pp , Salzburg, Austria, [5] Chika Oshima, Naoki Itou, Kazushi Nishimoto, Kiyoshi Yasuda, Naohito Hosoi, Hiromi Yamashita, Koichi Nakayama, and Etuso Horikawa: A Case Study of a Practical Use of MusiCuddle that is a Music Therapy System 88
96 for Patients with Dementia who Repeat Stereotypical Utterances, Global Health 2012, October 21-26, Venice, Italy, [6] : Voice-to-MIDI 2007 pp.71-72, [7] : Voice-to-MIDI 2010 pp [8] : MIDI 2step 2006-EC-5 Vol.2006 pp [9] : Voiceto-MIDI 2007-MUS-71 Vol.2007, [10] : 2008 pp [11] : Voice-to-MIDI 2008-MUS-78 Vol.2008 No.127 pp [12] : EnvJamm 2009 pp [13],,,,,
97 [14] MusiCuddle: D4-1, pp [15] 2011 Paper ID: 132 IPSJ Symposium Series Vol. 2011, No. 3, pp , [16] 25 1A1-NFC1a [17] Vol.14, No.2 pp.7-12, [18] 2A1-NFC-6-7, [19] MusiCuddle
98 ICOST2011 Best Multi-Disciplinary Paper Award [1] C. Oshima, N. Itou, K. Nishimoto, N. Hosoi, K. Yasuda and K. Nakayama, An Accompaniment System for Healing Emotions of Patients with Dementia Who Repeat Stereotypical Utterances, Lecture Notes in Computer Science, B. Abdulrazak et al.(eds.), Springer, Vol. 6719, pp ,
99 GrantNo [1] N. Itou, K. Nishimoto: A voice-to-midi system for singing melodies with lyrics, Proc. of the int. conf. on ACE 07, pp , Salzburg, Austria,
100 A Voice-to-MIDI Voice-to-MIDI Vouitar A.1 DTM Desk Top Music MIDI 6 93
101 HDD VSTi [92][49] [46] [47] MIDI MIDI [93][94][95] DTM (Voice-to- MIDI) 1 A.2 Jordi Janer Bass [96] MIDI 94
102 Air Guitar Virtual Air Guitar [97] Air Guitar Mountain Guitar [98] A.3 A.3.1 NoteOn On Voice-to-MIDI MIDI 1. ( 1 ) 2. ( ) 3. 1 Plucking Picking 95
103 ( ) 1 ( ) ( ) ( 5 ) A
104 MIDI 1 E2-G5 MIDI NoteOn MIDI DirectSound FFT 100ms A Voice-to-MIDI 2 / E2- G5 A4 = 440Hz MIDI 22050Hz, 16bit, = 2048samples : 100ms =128samples : 6ms E2-G5 A.3.6 EZ-AG 97
105 A.1: or or or 5 Note Off Microsoft Visual C 2005, Visual C DLL 98
106 A.3.4 / A.1 E2-G5 Note Off MIDI A.3.5 PC A.3.6 YAMAHA EG-AG [99] EZ-AG 99
107 (1 =1ch,..., 6 =6ch) Note Off Note Off Velocity = 0 Note On Note Off Velocity = 16 Note On Note Off Note Off Note On Note On/Off MIDI YAMAHA EZ-EG [100] EZ-EG EZ-EG A.4 A.4.1 A.3.1 ( ) MIDI 100
108 BPM= LUNA SEA ROSIER 8 UK 1 Dell Lattitude XT PC MIDI EZ-AG USB BMHUN01SVA EZ-AG EZ-AG (a) ( (b) ( (c) 101
109 ( (d) ( ) 5 6 ( ) Distortion Guitar (e) 2 : 2 (f) (g) A (a) [ ] (b) [ ] (c) [ ] (d) 2 2. (a) [ ] 2 Voice-to-MIDI 102
110 (b) [ ] (c) [ ] (d) (a) (d) 3. BPM=120 (a) [ ] (b) [ ] (c) [ ] (d) (b) 4. (a) [ ] (b) [ ] (c) [ ] (d) (e) [ ] : 103
111 CD MIDI (f) BPM=120 (g) 5 104
112 A.5 1 MIDI MIDI EnvJamm 6,
Voice-to-MIDI A Method of Note Counting and Pitch Extraction by Using Melody Rhythm Taps for Voice-to-MIDI System Naoki ITOU and Kazushi NISHIMOTO MID
JAIST Reposi https://dspace.j Title Voice-to-MIDIのためのメロディリズムタップを 用 いた 音 数 音 高 の 判 定 手 法 の 提 案 Author(s) 伊 藤, 直 樹 ; 西 本, 一 志 Citation 電 子 情 報 通 信 学 会 論 文 誌 D, J96-D(4): 965-977 Issue Date 2013-04-01 Type
IPSJ SIG Technical Report Vol.2010-HCI-139 No /7/ , Toward the Development of a Music Therapy System that Prompts Elderly Peo
1 1 2 3, 4 5 2 1 1 Toward the Development of a Music Therapy System that Prompts Elderly People to Sing with Accompaniment. Chika Oshima, 1 Koichi Nakayama, 2 Kiyoshi Yasuda, 4 Kazushi Nishimoto 5 and
Copyright 2008 by Tomoyoshi Yamazaki
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950080 Copyright ' 2001 by Manabu Masuoka i
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Titleエジプトにおける 私 的 土 地 所 有 権 の 確 立 Author(s) 加 藤, 博 Citation Issue 1983-12-14 Date Type Thesis or Dissertation Text Version publisher URL http://hdl.handle.net/10086/18306 Right Hitotsubashi University
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