메뉴 건너뛰기




Volumn , Issue , 2005, Pages 558-563

Instrument identification in polyphonic music: Feature weighting with mixed sounds, pitch-dependent timbre modeling, and use of musical context

Author keywords

F0 dependent multivariate normal distribution; Mixedsound template; MPEG 7; Musical context; Musical instrument identification

Indexed keywords

MIXEDSOUND TEMPLATE; MPEG-7; MULTI-VARIATE NORMAL DISTRIBUTIONS; MUSICAL CONTEXT; MUSICAL INSTRUMENT IDENTIFICATION;

EID: 33846174759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (11)
  • 2
    • 33745001646 scopus 로고    scopus 로고
    • Application of missing feature approach to the recognition of musical instruments in polyphonic audio
    • J. Eggink and G. J. Brown. Application of missing feature approach to the recognition of musical instruments in polyphonic audio. Proc. ISMIR, 2003.
    • (2003) Proc. ISMIR
    • Eggink, J.1    Brown, G.J.2
  • 3
    • 0033690881 scopus 로고    scopus 로고
    • Musical instrument recognition using cepstral coefficients and temporal features
    • A. Eronen and A. Klapuri. Musical instrument recognition using cepstral coefficients and temporal features. Proc. ICASSP, pages 735-756, 2000.
    • (2000) Proc. ICASSP , pp. 735-756
    • Eronen, A.1    Klapuri, A.2
  • 4
    • 85159262837 scopus 로고    scopus 로고
    • Realtime recognition of orchestral instruments
    • I. Fujinaga and K. MacMillan. Realtime recognition of orchestral instruments. Proc.ICMC, pages 141-143, 2000.
    • (2000) Proc. ICMC , pp. 141-143
    • Fujinaga, I.1    MacMillan, K.2
  • 5
    • 0032678384 scopus 로고    scopus 로고
    • A sound source identification system for ensemble music based on template adaptation and music stream extraction
    • K. Kashino and H. Murase. A sound source identification system for ensemble music based on template adaptation and music stream extraction. Speech Communication, 27: 337-349, 1999.
    • (1999) Speech Communication , vol.27 , pp. 337-349
    • Kashino, K.1    Murase, H.2
  • 6
    • 0141827043 scopus 로고    scopus 로고
    • Musical sound source identification based on frequency component adaptation
    • T. Kinoshita, S. Sakai, and H. Tanaka. Musical sound source identification based on frequency component adaptation. Proc. IJCAI CASA Workshop, pages 18-24, 1999.
    • (1999) Proc. IJCAI CASA Workshop , pp. 18-24
    • Kinoshita, T.1    Sakai, S.2    Tanaka, H.3
  • 8
    • 33744982436 scopus 로고    scopus 로고
    • Instrument identification in solo and ensemble music using independent subspace analysis
    • E. Vincent and X. Rodet. Instrument identification in solo and ensemble music using independent subspace analysis. Proc. ISMIR, pages 576-581, 2004.
    • (2004) Proc. ISMIR , pp. 576-581
    • Vincent, E.1    Rodet, X.2
  • 9
    • 0141631749 scopus 로고    scopus 로고
    • Musical instrument identification based on F0-dependent multivariate normal distribution
    • T. Kitahara, M. Goto, and H. G. Okuno. Musical instrument identification based on F0-dependent multivariate normal distribution. Proc. ICASSP, volume V, pages 421- 424, 2003.
    • (2003) Proc. ICASSP , vol.5 , pp. 421-424
    • Kitahara, T.1    Goto, M.2    Okuno, H.G.3
  • 10
    • 2442437071 scopus 로고    scopus 로고
    • RWC music database: Music genre database and musical instrument sound database
    • M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka. RWC music database: Music genre database and musical instrument sound database. Proc. ISMIR, pages 229-230, 2003.
    • (2003) Proc. ISMIR , pp. 229-230
    • Goto, M.1    Hashiguchi, H.2    Nishimura, T.3    Oka, R.4
  • 11
    • 0141623871 scopus 로고    scopus 로고
    • RWC music database: Popular, classical, and jazz music databases
    • M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka. RWC music database: Popular, classical, and jazz music databases. Proc. ISMIR, pages 287-288, 2002.
    • (2002) Proc. ISMIR , pp. 287-288
    • Goto, M.1    Hashiguchi, H.2    Nishimura, T.3    Oka, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.