Heiga Zen

15.9k citations

126 papers · 6.1k · 4 hit papers · h-index 36

Impact in

Signal Processing top 0.05%
- Speech and Audio Processing
- Music and Audio Processing
Artificial Intelligence top 0.1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling

Papers in

Artificial Intelligence 121
- Speech Recognition and Synthesis 116
- Natural Language Processing Techniques 45
- Speech and dialogue systems 35
- Topic Modeling 8
Signal Processing 85
- Speech and Audio Processing 79
- Music and Audio Processing 43

Co-authors: Keiichi Tokuda (61 shared papers)Alan W. Black (4 shared papers)Keiichi Tokuda (5 shared papers)Andrew Senior (3 shared papers)Mike Schuster (2 shared papers)Tomoki Toda (15 shared papers)Yoshihiko Nankaku (31 shared papers)Junichi Yamagishi (11 shared papers)
Journals: IEEE Transactions on Audio Speech and Language Processing (5 papers)IEEE Signal Processing Magazine (4 papers)Speech Communication (2 papers)The Journal of the Acoustical Society of America (2 papers)IEICE Transactions on Information and Systems (12 papers)
Partner nations: Japan United States United Kingdom

In The Last Decade

Heiga Zen

121 papers receiving 5.4k citations

Heiga Zen's Hit Papers

align trajectories log scale

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech 2019 · 452 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech
2013 Proceedings of the IEEE
2013 Statistical parametric speech synthesis using deep neural networks
2009 Speech Communication

Peers

Countries citing papers authored by Heiga Zen

Since Specialization

Citations

This map shows the geographic impact of Heiga Zen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Heiga Zen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiga Zen more than expected).

Fields of papers citing papers by Heiga Zen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heiga Zen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Heiga Zen. The network helps show where Heiga Zen may publish in the future.

Co-authors

The 25 scholars most cited alongside Heiga Zen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heiga Zen Line = papers co-authored together Heiga Zen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Statistical parametric speech synthesis Speech Communication ·Heiga Zen, Keiichi Tokuda, Alan W. Black Hit paper breakdown →	2009	893
2	Statistical parametric speech synthesis using deep neural networks Heiga Zen, Andrew Senior, Mike Schuster Hit paper breakdown →	2013	609
3	LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech Heiga Zen, Viet Chau Dang, Rob Clark, Zhang Yu, Ron J. Weiss, Jia Ye, Zhifeng Chen, Yonghui Wu Hit paper breakdown →	2019	452
4	Speech Synthesis Based on Hidden Markov Models Proceedings of the IEEE ·Keiichi Tokuda, Yoshihiko Nankaku, Tomoki Toda, Heiga Zen, Junichi Yamagishi, Keiichiro Oura Hit paper breakdown →	2013	295
5	The HMM-based speech synthesis system (HTS) version 2.0. SSW ·Heiga Zen, Takashi Nose, Junichi Yamagishi, Shinji Sako, Takashi Masuko, Alan W. Black, Keiichi Tokuda	2007	285
6	Statistical Parametric Speech Synthesis Alan W. Black, Heiga Zen, Keiichi Tokuda	2007	211
7	Unidirectional long short-term memory recurrent neural network with recurrent output layer for low-latency speech synthesis Heiga Zen, Haşim Sak	2015	193
8	Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005 IEICE Transactions on Information and Systems ·Heiga Zen, Tomoki Toda, Masahide Nakamura, Keiichi Tokuda	2007	186
9	Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends IEEE Signal Processing Magazine ·Zhen-Hua Ling, Shiyin Kang, Heiga Zen, Andrew Senior, Mike Schuster, Xiaojun Qian, Helen Meng, Li Deng	2015	183
10	A Hidden Semi-Markov Model-Based Speech Synthesis System IEICE Transactions on Information and Systems ·Heiga Zen, Keiichi Tokuda, Takashi Masuko, Takao Kobayasih, Takashi Kitamura	2007	178
11	Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis IEEE Transactions on Audio Speech and Language Processing ·Junichi Yamagishi, Takashi Nose, Heiga Zen, Zhen-Hua Ling, Tomoki Toda, Keiichi Tokuda, Simon King, Steve Renals	2009	151
12	Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis Heiga Zen, Andrew Senior	2014	133
13	Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences Computer Speech & Language ·Heiga Zen, Keiichi Tokuda, Tadashi Kitamura	2006	110
14	Speech Processing for Digital Home Assistants: Combining Signal Processing With Deep-Learning Techniques IEEE Signal Processing Magazine ·Reinhold Haeb‐Umbach, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Björn Hoffmeister, Michael L. Seltzer, Heiga Zen, Mehrez Souden	2019	108
15	Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Zhifeng Chen, RJ Skerry-Ryan, Jia Ye, Andrew Rosenberg, Bhuvana Ramabhadran	2019	107
16	Hidden semi-Markov model based speech synthesis Tokyo Tech Research Repository (Tokyo Institute of Technology) ·Heiga Zen, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura	2004	98
17	An HMM-based singing voice synthesis system Keijiro Saino, Heiga Zen, Yoshihiko Nankaku, Akinobu Lee, Keiichi Tokuda	2006	83
18	Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization IEEE Transactions on Audio Speech and Language Processing ·Heiga Zen, Norbert Braunschweiler, Sabine Buchholz, Mark Gales, K.M. Knill, Sacha Krstulović, Javier Latorre	2012	74
19	Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu	2020	68
20	An overview of nitech HMM-based speech synthesis system for blizzard challenge 2005 Institutional Repositories DataBase (IRDB) ·Heiga Zen, Tomoki Toda	2005	65

About Heiga Zen

Heiga Zen is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Information Systems, having authored 126 papers that have together received 6.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (116 papers), Speech and Audio Processing (79 papers), Natural Language Processing Techniques (45 papers), Music and Audio Processing (43 papers), Speech and dialogue systems (35 papers), Topic Modeling (8 papers), Phonetics and Phonology Research (5 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Signal Processing (4.1k citations), Artificial Intelligence (5.4k citations), Experimental and Cognitive Psychology (620 citations), Computer Vision and Pattern Recognition (558 citations) and Pharmacy (45 citations). Heiga Zen has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keiichi Tokuda, Alan W. Black, Keiichi Tokuda, Andrew Senior, Mike Schuster, Tomoki Toda, Yoshihiko Nankaku, Junichi Yamagishi, Tadashi Kitamura and Takashi Masuko. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Signal Processing Magazine, Speech Communication, The Journal of the Acoustical Society of America and IEICE Transactions on Information and Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Heiga Zen's Hit Papers

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