Talks

2015

  • Heiga Zen Statistical parametric speech synthesis: from HMM to LSTM-RNN, Lecture given at Speech Processing Courses in Crete (SPCC), Crete, Greece, July 2015.
  • Heiga Zen Statistical parametric speech synthesis: from HMM to LSTM-RNN, Lecture given at RTTH Summer School on Speech Technology, Barcelona, Spain, July 2015. fileslides filevideo1 filevideo2 filevideo3
  • Heiga Zen Acoustic modeling for speech synthesis, Invited talk given at ASRU, Scottsdale, Arizona, USA, December 2015. fileslides

2014

  • Heiga Zen Statistical parametric speech synthesis, Tutorial given at UK Speech Conference, Edinburgh, UK, June 2014. filelink

2013

  • Heiga Zen Deep learning in speech synthesis Keynote speech given at 8th ISCA Speech Synthesis Workshop, Barcelona, Spain, August 2013. filelink
  • Heiga Zen, Text-to-speech synthesis and machine learning, 9th London Machine Learning Meetup, Jul. 2013. filelink fileslides

2011

  • Heiga Zen Statistical speech synthesis, Speech Synthesis Seminar Series, Cambridge University, Cambridge, UK, January 2011. filelink fileslides
  • Matt Shannon, Heiga Zen, Modelling trajectories in statistical speech synthesis, Speech Synthesis Seminar Series, Cambridge University, Cambridge, UK, January 2011. filelink fileslides1 fileslides2
  • Heiga Zen, Statistical parametric speech synthesis by product of experts, ILCC/HRCC Seminar Series, University of Edinburgh, Edinburgh, UK, March 2011. filelink fileslides
  • Heiga Zen, Statistical parametric speech synthesis based on speaker and language factorization, Speech Synthesis Seminar Series, Cambridge University, Cambridge, UK, June 2011. filelink fileslides filerecording

2009

  • Heiga Zen, Statistical parametric speech synthesis, MIL Speech Seminar, Cambridge University, Cambridge, UK, January 2009. fileslide

2006

  • Heiga Zen, Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic features, CLSP Seminar, Johns Hopkins University, Baltimore, MD, USA, Sept. 2006. fileslide
  • Heiga Zen, Reformulating an HMM as a trajectory model by imposing explicit relationships between static and dynamic features, Research Seminar, Microsoft Research Asia, Beijing, People's Republic of China, March 2006. fileslide

2005

  • Heiga Zen, Reformulating the HMM as a trajectory model by imposing explicit relationship between static and dynamic features, CSTR Seminar, Edinburgh University, Edinburgh, UK, July 2005. fileslide
  • Heiga Zen, Reformulating the HMM as a trajectory model by imposing explicit relationship between static and dynamic features, MIL Speech Seminar, Cambridge University, Cambridge, UK, July 2005. fileabst fileslide
  • Heiga Zen, Reformulating the HMM as a trajectory model by imposing explicit relationship between static and dynamic features, SSLI Seminar, University of Washington, Seattle, WA, USA, June 2005. fileabst fileslide
  • Heiga Zen, Reformulating the HMM as a trajectory model by imposing explicit relationship between static and dynamic features, Research Seminar, Microsoft Research, Redmond, WA, USA, June 2005. fileslide

2004

  • Heiga Zen, A trajectory model derived from the HMM by imposing explicit relationship between static and dynamic features for statistical speech recognition and synthesis, Research Seminar, IBM T.J.Watson Research Center, Yorktown Heights, NY, USA, Dec. 2004.

Attach file: filezen-Talk20090126atCUED_reduced.pdf 408 download [Information] filezen-Talk20110311-UEdinburgh.pdf 1219 download [Information] filezen-Talk20060925atJHU.pdf 1837 download [Information] filezen-Talk20060329atMSRA.pdf 403 download [Information] filezen-Talk20050708atCSTR.pdf 2005 download [Information] filezen-Talk20050606atUW.pdf 2060 download [Information] filezen-Talk20050705atCUED.pdf 1880 download [Information] filezen-Talk20050602atMicrosoft.pdf 1852 download [Information]

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