Shinji Watanabe

25.3k citations
547 papers · 12.6k indexed · 9 hit papers · h-index 54

Shinji Watanabe

510 papers receiving 11.7k citations

Hit Papers

AudioGPT: Unde...482015202620182022250500750

Peers

Shinji Watanabe
Comparison fields: 5 of 166
  • Signal Processing 8.1k
  • Artificial Intelligence 9.7k
  • Computational Mechanics 1.0k
  • Computer Vision and Pattern Recognition 1.0k
  • Experimental and Cognitive Psychology 406
Replace Chin‐Hui Lee with:
Chin‐Hui Lee United States
Alex Acero United States
Daniel Povey United States
Junichi Yamagishi Japan
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Bhiksha Raj United States
Mark Gales United Kingdom
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Shinji Watanabe relative to Chin‐Hui Lee United States Chin‐Hui Lee's profile →
Citations per field
00.5×3.7×
Chin‐Hui Lee · 1×
Citations per year

Countries citing papers authored by Shinji Watanabe

Since Specialization
Citations

This map shows the geographic impact of Shinji Watanabe'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 Shinji Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinji Watanabe more than expected).

Fields of papers citing papers by Shinji Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shinji Watanabe. 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 Shinji Watanabe. The network helps show where Shinji Watanabe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shinji Watanabe, 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 Shinji Watanabe Line = papers co-authored together Shinji Watanabe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 202315
5 202331
6 202311
7 202259
8 202226
9 2021117
10 201940
11
Low Resource Multi-modal Data Augmentation for End-to-end ASR.
20181
12 201793
13
Hybrid CTC/Attention Architecture for End-to-End Speech Recognitionbreakdown →
2017483
14
Statistical Dialogue Management using Intention Dependency Graph
20133
15
Learning influences fromword use in polylogue
20111
16 201153
17
Amalgamated learning framework : a pedagogical solution and social incentive mechanism for college learners in evolutional blended learning
20091
18 20095
19 20032
20
The occurrence and distribution of Salmonella and Arizona in Japan.
19591

About Shinji Watanabe

Shinji Watanabe is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 547 papers that have together received 12.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (394 papers), Speech and Audio Processing (272 papers), Music and Audio Processing (229 papers), Natural Language Processing Techniques (144 papers), Topic Modeling (82 papers), Speech and dialogue systems (42 papers), Advanced Adaptive Filtering Techniques (19 papers) and Neural Networks and Applications (18 papers). The work is most often cited by research in Signal Processing (8.1k citations), Artificial Intelligence (9.7k citations) and Computational Mechanics (1.0k citations). Shinji Watanabe has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Takaaki Hori, John R. Hershey, Jonathan Le Roux, Tomoki Hayashi, Suyoun Kim, Hakan Erdoğan, Shigeki Karita, Xuankai Chang, Nanxin Chen and Emmanuel Vincent. Their work appears in journals such as Journal of Applied Physics, Proceedings of the IEEE and The Journal of the Acoustical Society of America.

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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