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From MIREX Wiki
  • * George Tzanetakis (University of Victoria), gtzan@cs.uvic.ca
    8 KB (1,352 words) - 13:04, 13 May 2010
  • * George Tzanetakis (gtzan at cs dot uvic dot ca)
    13 KB (1,934 words) - 16:57, 13 May 2010
  • * George Tzanetakis (gtzan at cs dot uvic dot ca)
    12 KB (1,800 words) - 16:57, 13 May 2010
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    5 KB (705 words) - 07:42, 23 September 2014
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    5 KB (705 words) - 21:58, 26 March 2015
  • As an example dataset for development purposes we recommend the GTZAN Music/Speech Dataset
    10 KB (1,550 words) - 23:01, 17 February 2016
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    5 KB (709 words) - 19:05, 26 July 2016
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    6 KB (947 words) - 17:51, 8 August 2018
  • As an example dataset for development purposes we recommend the GTZAN Music/Speech Dataset
    10 KB (1,548 words) - 10:54, 7 May 2018
  • GTZAN Speech and Music Dataset
    10 KB (1,584 words) - 04:25, 19 September 2018
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    6 KB (1,011 words) - 18:43, 4 November 2019
  • GTZAN Speech and Music Dataset
    8 KB (1,277 words) - 03:10, 30 August 2019
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    7 KB (1,084 words) - 11:13, 3 September 2020
  • GTZAN Speech and Music Dataset
    8 KB (1,277 words) - 00:00, 2 June 2020
  • ...is no out-of-vocabulary query in the query set.) 965 of the files are from GTZAN data set, all the others are mainly English and Chinese pop songs. This dat The GTZAN data set were purified according to [1][2]. Exact repetitions were consider
    7 KB (1,084 words) - 14:49, 10 September 2021
  • GTZAN Speech and Music Dataset
    8 KB (1,275 words) - 06:32, 21 December 2021