deep GTTM

International conference paper

  • [PDF] [GTTM] [Deep GTTM] Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo: deepGTTM-II: Automatic Generation of Metrical Structure based on Deep Learning Technique, 13th Sound and Music Conference (SMC2016), pp.221-249, 2016.
  • [PDF] [GTTM] [Deep GTTM] Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo: deepGTTM-I: Local Boundaries Analyzer based on Deep Learning Technique, 13th International Symposium on Computer Music Multidisciplinary Research (CMMR2016), pp.8-20, July 2016.

Domestic conference paper

  • [LINK] [GTTM] [Deep GTTM] Masatoshi Hamanaka, Keiji Hirata, Satashi Tojo: “deepGTTM-II: Metrical Structure Analyzer based on Deep Learning Technique”, IPSJ Special Interest Group on Music and Computer, 2016-MUS-112, Vol.2016, No.5, pp. 1-8, March 2016.