World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4210
World Ranking
13641
National Ranking
227

Overview

Sakriani Sakti is affiliated with the Nara Institute of Science and Technology in Japan. Their research primarily falls within the field of Computer Science, with a substantial focus on Artificial Intelligence. Additional subfields include Computer Vision and Pattern Recognition, Signal Processing, Social Psychology, and Experimental and Cognitive Psychology.

The scientist's work covers multiple main topics, prominently Speech Recognition and Synthesis, Natural Language Processing Techniques, and Topic Modeling. Other notable topics in their research include Speech and dialogue systems, Speech and Audio Processing, Multimodal Machine Learning Applications, and Music and Audio Processing.

Their publication record includes a number of recent papers, among which are:

  • "ReMOT: A model-agnostic refinement for multiple object tracking", 2020, Image and Vision Computing
  • "End-to-End Speech Translation With Transcoding by Multi-Task Learning for Distant Language Pairs", 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Instance-Level Heterogeneous Domain Adaptation for Limited-Labeled Sketch-to-Photo Retrieval", 2020, IEEE Transactions on Multimedia
  • "Machine Speech Chain", 2020, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation", 2020, arXiv (Cornell University)

Sakti collaborates extensively with a network of researchers. Frequent coauthors include Satoshi Nakamura, Andros Tjandra, Sashi Novitasari, Katsuhito Sudoh, and Fan Yang.

The scientist's publications are commonly featured in journals and conferences such as arXiv (Cornell University), IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing, IEICE Transactions on Information and Systems, and Image and Vision Computing. The volume of their work in these venues varies, with the largest number of publications appearing on arXiv.

Best Publications

  • Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)

    Yusuke Oda;Hiroyuki Fudaba;Graham Neubig;Hideaki Hata

  • Make Skeleton-based Action Recognition Model Smaller, Faster and Better

    Fan Yang;Yang Wu;Sakriani Sakti;Satoshi Nakamura

  • Listening while speaking: Speech chain by deep learning

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • The Zero Resource Speech Challenge 2019: TTS Without T.

    Ewan Dunbar;Robin Algayres;Julien Karadayi;Mathieu Bernard

  • Compressing recurrent neural network with tensor train

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Postfilters to modify the modulation spectrum for statistical parametric speech synthesis

    Shinnosuke Takamichi;Tomoki Toda;Alan W. Black;Graham Neubig

  • Statistical Singing Voice Conversion with Direct Waveform Modification based on the Spectrum Differential

    Kazuhiro Kobayashi;Tomoki Toda;Graham Neubig;Sakriani Sakti

  • ReMOT: A model-agnostic refinement for multiple object tracking

    Fan Yang;Xin Chang;Sakriani Sakti;Yang Wu

  • Optimizing Segmentation Strategies for Simultaneous Speech Translation

    Yusuke Oda;Graham Neubig;Sakriani Sakti;Tomoki Toda

  • A postfilter to modify the modulation spectrum in HMM-based speech synthesis

    Shinnosuke Takamichi;Tomoki Toda;Graham Neubig;Sakriani Sakti

  • Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach

    Nurul Lubis;Sakriani Sakti;Koichiro Yoshino;Satoshi Nakamura

  • VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019.

    Andros Tjandra;Berrak Sisman;Mingyang Zhang;Sakriani Sakti

  • Automated Social Skills Trainer

    Hiroki Tanaka;Sakriani Sakti;Graham Neubig;Tomoki Toda

  • The Zero Resource Speech Challenge 2020: Discovering Discrete Subword and Word Units.

    Ewan Dunbar;Julien Karadayi;Mathieu Bernard;Xuan-Nga Cao

  • Transformer-Based Direct Speech-To-Speech Translation with Transcoder

    Takatomo Kano;Sakriani Sakti;Satoshi Nakamura

  • Feature optimized DPGMM clustering for unsupervised subword modeling: A contribution to zerospeech 2017

    Michael Heck;Sakriani Sakti;Satoshi Nakamura

  • Machine Speech Chain with One-shot Speaker Adaptation

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Structured-Based Curriculum Learning for End-to-End English-Japanese Speech Translation.

    Takatomo Kano;Sakriani Sakti;Satoshi Nakamura

  • Tensor Decomposition for Compressing Recurrent Neural Network

    Andros Tjandra;Sakriani Sakti;Satoshi Nakamura

  • Development of Indonesian Large Vocabulary Continuous Speech Recognition System within A-STAR Project.

    Sakriani Sakti;Eka Kelana;Hammam Riza;Shinsuke Sakai

  • Make Skeleton-based Action Recognition Model Smaller, Faster and Better

    Fan Yang;Sakriani Sakti;Yang Wu;Satoshi Nakamura

Frequent Co-Authors

Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Graham Neubig
Graham Neubig Carnegie Mellon University
Tomoki Toda
Tomoki Toda Nagoya University
Wolfgang Minker
Wolfgang Minker University of Ulm
Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Masataka Goto
Masataka Goto National Institute of Advanced Industrial Science and Technology
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Alan W. Black
Alan W. Black Carnegie Mellon University
Alex Waibel
Alex Waibel Carnegie Mellon University

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