Bayesian context clustering using cross valid prior distribution for HMM-based speech recognition

نویسندگان

  • Kei Hashimoto
  • Heiga Zen
  • Yoshihiko Nankaku
  • Akinobu Lee
  • Keiichi Tokuda
چکیده

Decision tree based context clustering [Young; '94] ・ Construct a parameter tying structure ・ Can estimate robust parameter ・ Can generate unseen context dependent models ・ Minimum description length (MDL) criterion [Shinoda; '97] Bayesian approach ・ Variational Bayesian (VB) method [Attias; '99] ⇒ Applied to speech recognition [Watanabe; '04] ・ Can use prior information ⇒ Affect context clustering Problems Prior information is not generally given ⇒ Prior distribution becomes tuning parameters

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تاریخ انتشار 2008