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Volumn , Issue , 2012, Pages 37-42

Analyzing drum patterns using conditional deep belief networks

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTION; BOLTZMANN MACHINES; DEEP BELIEF NETWORKS; DISCRIMINATIVE NETWORKS; GENERATIVE MODEL; HIGH-LEVEL ANALYSIS; INPUT LAYERS; LAYER-BY-LAYERS; POSTERIOR PROBABILITY; RHYTHMIC FEATURES; STATE-SPACE; TEMPORAL CONTINUITY; VITERBI DECODING;

EID: 84873426072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (13)
  • 3
    • 4444224374 scopus 로고    scopus 로고
    • An audio-based real-time beat tracking system for music with or without drum-sounds
    • M Goto. An audio-based real-time beat tracking system for music with or without drum-sounds. Journal of New Music Research, 30(2):159-171, 2001.
    • (2001) Journal of New Music Research , vol.30 , Issue.2 , pp. 159-171
    • Goto, M.1
  • 5
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G Hinton and S Osindero. A fast learning algorithm for deep belief nets. Neural Computation, 2006.
    • (2006) Neural Computation
    • Hinton, G.1    Osindero, S.2
  • 6
    • 34848816179 scopus 로고    scopus 로고
    • To recognize shapes, first learn to generate images
    • G. E. Hinton. To recognize shapes, first learn to generate images. Progress in brain research, 165:535-547, 2007.
    • (2007) Progress in Brain Research , vol.165 , pp. 535-547
    • Hinton, G.E.1
  • 10
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • L.R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 11
    • 79955836081 scopus 로고    scopus 로고
    • Two distributed-state models for generating high-dimensional time series
    • G Taylor and G Hinton. Two Distributed-State Models For Generating High-Dimensional Time Series. Journal of Machine Learning Research, 2011.
    • (2011) Journal of Machine Learning Research
    • Taylor, G.1    Hinton, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.