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My SLT 2018 Schedule

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Deep Learning for Speech Synthesis

Session Type: Invited talk, Discussion, Oral presentation, Poster session
Time: Tuesday, December 18, 14:00 - 17:00
Location: Kallirhoe Hall
 
  1: PREDICTING EXPRESSIVE SPEAKING STYLE FROM TEXT IN END-TO-END SPEECH SYNTHESIS
         Daisy Stanton; Google
         Yuxuan Wang; Google
         RJ Ryan; Google
 
  2: A SPECTRALLY WEIGHTED MIXTURE OF LEAST SQUARE ERROR AND WASSERSTEIN DISCRIMINATOR LOSS FOR GENERATIVE SPSS
         Gilles Degottex; ObEN, Inc. - University of Cambridge
         Mark Gales; University of Cambridge
 
  3: SCALING AND BIAS CODES FOR MODELING SPEAKER-ADAPTIVE DNN-BASED SPEECH SYNTHESIS SYSTEMS
         Hieu-Thi Luong; National Institute of Informatics
         Junichi Yamagishi; National Institute of Informatics
 
  4: HIERARCHICAL RNNS FOR WAVEFORM-LEVEL SPEECH SYNTHESIS
         Qingyun Dou; University of Cambridge
         Moquan Wan; University of Cambridge
         Gilles Degottex; University of Cambridge
         Zhiyi Ma; University of Cambridge
         Mark Gales; University of Cambridge
 
  5: PARAMETER GENERATION ALGORITHMS FOR TEXT-TO-SPEECH SYNTHESIS WITH RECURRENT NEURAL NETWORKS
         Viacheslav Klimkov; Amazon
         Alexis Moinet; Amazon
         Adam Nadolski; Amazon
         Thomas Drugman; Amazon
 
  6: SYNTHETIC-TO-NATURAL SPEECH WAVEFORM CONVERSION USING CYCLE-CONSISTENT ADVERSARIAL NETWORKS
         Kou Tanaka; NTT corporation
         Takuhiro Kaneko; NTT corporation
         Nobukatsu Hojo; NTT corporation
         Hirokazu Kameoka; NTT corporation
 
  7: IMPROVING UNSUPERVISED STYLE TRANSFER IN END-TO-END SPEECH SYNTHESIS WITH END-TO-END SPEECH RECOGNITION
         Da-Rong Liu; National Taiwan University
         Chi-Yu Yang; National Taiwan University
         Szu-Lin Wu; National Taiwan University
         Hung-Yi Lee; National Taiwan University
 
  8: MULTI-SCALE ALIGNMENT AND CONTEXTUAL HISTORY FOR ATTENTION MECHANISM IN SEQUENCE-TO-SEQUENCE MODEL
         Andros Tjandra; Nara Institute of Science and Technology
         Sakriani Sakti; Nara Institute of Science and Technology
         Satoshi Nakamura; Nara Institute of Science and Technology