메뉴 건너뛰기




Volumn 34, Issue 4, 2006, Pages 489-515

Computational auditory scene analysis in cellular wave computing framework

Author keywords

Auditory pre processing; Cellular neural networks (CNN); CNN universal machine (CNN UM); Computational auditory scene analysis; Sound source localization; Wave computation; Wave computer

Indexed keywords

AUDITION; CIRCUIT THEORY; COMPUTATION THEORY; FEATURE EXTRACTION; NONLINEAR NETWORK ANALYSIS; OBJECT RECOGNITION;

EID: 33746334743     PISSN: 00989886     EISSN: 1097007X     Source Type: Journal    
DOI: 10.1002/cta.362     Document Type: Article
Times cited : (6)

References (35)
  • 1
    • 70450184166 scopus 로고    scopus 로고
    • An assessment of automatic recognition technique for spontaneous speech in comparison with human performance
    • Tokyo
    • Shinozaki T, Furui S. An assessment of automatic recognition technique for spontaneous speech in comparison with human performance. Workshop on Spontaneous Speech Processing and Recognition, Tokyo, 2003.
    • (2003) Workshop on Spontaneous Speech Processing and Recognition
    • Shinozaki, T.1    Furui, S.2
  • 3
    • 0040262071 scopus 로고
    • Human benchmarks for speaker independent large vocabulary recognition performance
    • Leeuwen DA, Van den Berg LG, Steeneken HJM. Human benchmarks for speaker independent large vocabulary recognition performance. In Proceedings of Eurospeech, vol. 2, 1995; 1461-1464.
    • (1995) Proceedings of Eurospeech , vol.2 , pp. 1461-1464
    • Leeuwen, D.A.1    Van Den Berg, L.G.2    Steeneken, H.J.M.3
  • 5
    • 0019868723 scopus 로고
    • The hearing of the barn owl
    • Knudsen El. The hearing of the barn owl. Scientific American 1981; 245(6):83-91.
    • (1981) Scientific American , vol.245 , Issue.6 , pp. 83-91
    • Knudsen, El.1
  • 6
    • 0027197887 scopus 로고
    • Listening with two ears
    • Konishi M. Listening with two ears. Scientific American 1993; 268(4):34-41.
    • (1993) Scientific American , vol.268 , Issue.4 , pp. 34-41
    • Konishi, M.1
  • 8
    • 0028531926 scopus 로고
    • Computational auditory scene analysis
    • Brown GJ, Cooke M. Computational auditory scene analysis. Computer Speech and Language 1994; 8(4): 297-336.
    • (1994) Computer Speech and Language , vol.8 , Issue.4 , pp. 297-336
    • Brown, G.J.1    Cooke, M.2
  • 12
    • 0032630841 scopus 로고    scopus 로고
    • Harmonic sound stream segregation using localization and its application to speech stream segregation
    • Nakatani T, Okuno HG. Harmonic sound stream segregation using localization and its application to speech stream segregation. Speech Communication 1999; 27:209-222.
    • (1999) Speech Communication , vol.27 , pp. 209-222
    • Nakatani, T.1    Okuno, H.G.2
  • 13
    • 0003794341 scopus 로고    scopus 로고
    • Ph.D. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
    • Ellis DPW. Prediction-driven computational auditory scene analysis. Ph.D. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1997.
    • (1997) Prediction-driven Computational Auditory Scene Analysis
    • Ellis, D.P.W.1
  • 19
    • 0346907064 scopus 로고    scopus 로고
    • Computational and computer complexity of analogic cellular wave computers
    • Roska T. Computational and computer complexity of analogic cellular wave computers. Journal of Circuits, Systems, and Computers 2003; 12(4):539-562.
    • (2003) Journal of Circuits, Systems, and Computers , vol.12 , Issue.4 , pp. 539-562
    • Roska, T.1
  • 20
    • 0023472342 scopus 로고
    • Physiology of the higher auditory system
    • Moore DR. Physiology of the higher auditory system. British Medical Bulletin 1987; 43(4);856-870.
    • (1987) British Medical Bulletin , vol.43 , Issue.4 , pp. 856-870
    • Moore, D.R.1
  • 21
    • 33746363656 scopus 로고    scopus 로고
    • An efficient implementation of the Patterson-holdsworth auditory filter bank
    • Malcolm S. An efficient implementation of the Patterson-Holdsworth auditory filter bank. Apple Computer Technical Report 1993; #35.
    • Apple Computer Technical Report 1993 , Issue.35
    • Malcolm, S.1
  • 24
    • 84955039739 scopus 로고
    • Implementation details of a computation model of the inner hair-cell/auditory-nerve synapse
    • Hewitt MJ, Meddis R. Implementation details of a computation model of the inner hair-cell/auditory-nerve synapse. Journal of the Acoustical Society of America 1990; 87(4):1813-1816.
    • (1990) Journal of the Acoustical Society of America , vol.87 , Issue.4 , pp. 1813-1816
    • Hewitt, M.J.1    Meddis, R.2
  • 28
    • 0035478859 scopus 로고    scopus 로고
    • The auditory organization of speech and other sources in listener and computational models
    • Martin C, Ellis PWD. The auditory organization of speech and other sources in listener and computational models. Speech Communication 2001; 35:141-177.
    • (2001) Speech Communication , vol.35 , pp. 141-177
    • Martin, C.1    Ellis, P.W.D.2
  • 29
    • 0003499574 scopus 로고    scopus 로고
    • CNN software library (templates and algorithms)
    • Analogical and Neural Computing Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (MTASZTAKI), DNS-1-1997, Budapest
    • Roska T, Kék L, Nemes L, Zarándy Á. CNN software library (templates and algorithms), version 7.0. Research Report, Analogical and Neural Computing Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (MTASZTAKI), DNS-1-1997, Budapest, 1997.
    • (1997) Version 7.0. Research Report
    • Roska, T.1    Kék, L.2    Nemes, L.3    Zarándy, Á.4
  • 30
    • 33746348467 scopus 로고    scopus 로고
    • CNN software library for Ace4k chip
    • Budapest
    • Analogic Computers Ltd. CNN software library for Ace4k chip, version 1.0. Research Report, Budapest, 2000.
    • (2000) Version 1.0. Research Report
  • 31
    • 33746366948 scopus 로고    scopus 로고
    • Arbitrary spatial convolution via CNN universal machine with 3×3 templates: Methods and issues
    • Crounse KR, Chua LO. Arbitrary spatial convolution via CNN universal machine with 3×3 templates: methods and issues. Memorandum 1996 No. UCB/ERL M96/5.
    • Memorandum 1996 No. UCB/ERL M96/5 , vol.UCB-ERL M96-5
    • Crounse, K.R.1    Chua, L.O.2
  • 33
    • 33746337117 scopus 로고    scopus 로고
    • Auditory segmentation based on onset and offset analysis
    • Ohio State University; OSU-GSRC-1/05-TR04
    • Guoning H, DeLiang W. Auditory segmentation based on onset and offset analysis. Ohio State University; Technical Report 2005: OSU-GSRC-1/05-TR04.
    • Technical Report 2005
    • Guoning, H.1    DeLiang, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.