Atsuhiko Kai

40 papers receiving 266 citations

Peers

Atsuhiko Kai
Comparison fields: 5 of 46
  • Artificial Intelligence 204
  • Signal Processing 170
  • Management Science and Operations Research 43
  • Control and Systems Engineering 26
  • Economics and Econometrics 19
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Luke M. Davis United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Atsuhiko Kai

Since Specialization
Citations

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

Fields of papers citing papers by Atsuhiko Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuhiko Kai

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuhiko Kai. A scholar is included among the top collaborators of Atsuhiko Kai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsuhiko Kai. Atsuhiko Kai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 7
4
Effects of End-to-end ASR and Score Fusion Model Learning for Improved Query-by-example Spoken Term Detection
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5 1
6
Combining State-level and DNN-based Acoustic Matches for Efficient Spoken Term Detection in NTCIR-12 SpokenQuery&Doc-2 Task.
3
7 7
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Combining Subword and State-level Dissimilarity Measures for Improved Spoken Term Detection in NTCIR-11 SpokenQuery&Doc Task
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9
Investigation of Deep Neural Network and Cross-adaptation for Voice Activity Detection in Meeting Speech
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10 8
11
Spoken Term Detection Using Distance-Vector based Dissimilarity Measures and Its Evaluation on the NTCIR-10 SpokenDoc-2 Task
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12 43
13
Distant-talking speaker identification using a reverberation model with various artificial room impulse responses
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14 4
15
Galatea : An Anthropomorphic Spoken Dialogue Agent Toolkit
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Design of Software Toolkit for Anthropomorphic Spoken Dialog Agent Software with Customization-oriented Features
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17
An voice - operating WWW browsing system using a continuous speech recognition server -SPOJUS-
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18 14
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Relationship among Recognition Rate, Rejection Rate and False Alarm Rate in a Spoken Word Recognition System
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20 2

About Atsuhiko Kai

Atsuhiko Kai is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 45 papers that have together received 291 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (22 papers) and Music and Audio Processing (16 papers). The work is most often cited by research in Signal Processing (170 citations), Artificial Intelligence (204 citations) and Management Science and Operations Research (43 citations). Atsuhiko Kai has collaborated with scholars based in Japan, Singapore and China. Frequent co-authors include Longbiao Wang, Takanori Yamada, Seiichi Nakagawa, Longbiao Wang, Zhaofeng Zhang, Kazuyuki Sekitani, Masahiro Iwahashi, Weifeng Li, Naoki Yamamoto and Bo Ren. Their work appears in journals such as Sensors, Multimedia Tools and Applications and EURASIP Journal on Advances in Signal Processing.

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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