Taichi Asami

410 total citations
50 papers, 250 citations indexed

About

Taichi Asami is a scholar working on Artificial Intelligence, Signal Processing and Social Psychology. According to data from OpenAlex, Taichi Asami has authored 50 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 20 papers in Signal Processing and 3 papers in Social Psychology. Recurrent topics in Taichi Asami's work include Speech Recognition and Synthesis (35 papers), Natural Language Processing Techniques (19 papers) and Speech and Audio Processing (18 papers). Taichi Asami is often cited by papers focused on Speech Recognition and Synthesis (35 papers), Natural Language Processing Techniques (19 papers) and Speech and Audio Processing (18 papers). Taichi Asami collaborates with scholars based in Japan, United States and France. Taichi Asami's co-authors include Ryo Masumura, Hirokazu Masataki, Yushi Aono, Yoshikazu Yamaguchi, Takamasa Iio, Yuichiro Yoshikawa, Hiroshi Ishiguro, Ryuichiro Higashinaka, Yusuke Ijima and Takanobu Oba and has published in prestigious journals such as Applied Sciences, Computer Speech & Language and Journal of Radiation Research.

In The Last Decade

Taichi Asami

44 papers receiving 226 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Taichi Asami Japan	8	204	106	32	31	16	50	250
Mathew Flynn United Kingdom	3	167 0.8×	93 0.9×	19 0.6×	25 0.8×	34 2.1×	8	254
Jan Romportl Czechia	8	125 0.6×	48 0.5×	14 0.4×	17 0.5×	20 1.3×	32	176
Petra Geutner United States	11	333 1.6×	114 1.1×	21 0.7×	32 1.0×	15 0.9×	20	366
Khawar Mehmood Pakistan	5	225 1.1×	65 0.6×	11 0.3×	35 1.1×	17 1.1×	8	294
Ivan Bulyko United States	15	578 2.8×	173 1.6×	16 0.5×	27 0.9×	28 1.8×	41	611
Gil Keren Germany	10	183 0.9×	133 1.3×	5 0.2×	33 1.1×	34 2.1×	19	267
Min Ma China	11	235 1.2×	87 0.8×	20 0.6×	13 0.4×	35 2.2×	32	352
Ravichander Vipperla United Kingdom	11	272 1.3×	224 2.1×	6 0.2×	41 1.3×	37 2.3×	23	348
Yushi Aono Japan	11	271 1.3×	144 1.4×	12 0.4×	42 1.4×	73 4.6×	43	338

Countries citing papers authored by Taichi Asami

Since Specialization

Citations

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

Fields of papers citing papers by Taichi Asami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taichi Asami

This figure shows the co-authorship network connecting the top 25 collaborators of Taichi Asami. A scholar is included among the top collaborators of Taichi Asami 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 Taichi Asami. Taichi Asami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kamo, Naoyuki, Naohiro Tawara, Hiroshi Satō, et al.. (2025). Microphone array geometry-independent multi-talker distant ASR: NTT system for DASR task of the CHiME-8 challenge. Computer Speech & Language. 95. 101820–101820.

Kamo, Naoyuki, Naohiro Tawara, Hiroshi Satō, et al.. (2024). NTT Multi-Speaker ASR System for the DASR Task of CHiME-8 Challenge. SPIRE - Sciences Po Institutional REpository. 69–74. 2 indexed citations

Delcroix, Marc, et al.. (2024). What Do Self-Supervised Speech and Speaker Models Learn? New Findings from a Cross Model Layer-Wise Analysis. 10166–10170. 5 indexed citations

Kamo, Naoyuki, Naohiro Tawara, Kohei Matsuura, et al.. (2023). NTT Multi-Speaker ASR System for the DASR Task of CHiME-7 Challenge. 45–50. 4 indexed citations

Akagi, Yasunori, et al.. (2023). An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 3977–3986. 2 indexed citations

Yoshikawa, Yuichiro, et al.. (2021). The Effects of Physically Embodied Multiple Conversation Robots on the Elderly. Frontiers in Robotics and AI. 8. 633045–633045. 13 indexed citations

Asami, Taichi, Kento Igarashi, K. Nagata, et al.. (2020). Strain difference in transgene-induced tumorigenesis and suppressive effect of ionizing radiation. Journal of Radiation Research. 62(1). 12–24. 1 indexed citations

Masumura, Ryo, et al.. (2019). Viterbi Approximation of Latent Words Language Models for Automatic Speech Recognition. Journal of Information Processing. 27(0). 168–176. 3 indexed citations

Asami, Taichi, Ryo Masumura, Yushi Aono, & Koichi Shinoda. (2019). Recurrent out-of-vocabulary word detection based on distribution of features. Computer Speech & Language. 58. 247–259. 3 indexed citations

10.

Masumura, Ryo, et al.. (2017). Hyperspherical Query Likelihood Models with Word Embeddings. International Joint Conference on Natural Language Processing. 2. 210–216. 1 indexed citations

11.

Irie, Go, et al.. (2017). Cross-modal transfer with neural word vectors for image feature learning. 2916–2920. 2 indexed citations

12.

Masataki, Hirokazu, et al.. (2016). Evaluation of Japanese English DNN Acoustic Models with English Level. IEICE Technical Report; IEICE Tech. Rep.. 116(165). 1–6.

13.

Masumura, Ryo, et al.. (2016). Investigation of Combining Various Major Language Model Technologies including Data Expansion and Adaptation. IEICE Transactions on Information and Systems. E99.D(10). 2452–2461. 3 indexed citations

14.

Masumura, Ryo, et al.. (2016). Language Identification Based on Generative Modeling of Posteriorgram Sequences Extracted from Frame-by-Frame DNNs and LSTM-RNNs. 3275–3279. 1 indexed citations

15.

Oba, Takanobu, Kazunori Kobayashi, Hisashi Uematsu, et al.. (2015). Media Processing Technology for Business Task Support. NTT technical review. 13(4). 45–51. 2 indexed citations

16.

Masumura, Ryo, et al.. (2015). Latent words recurrent neural network language models. 2380–2384. 2 indexed citations

17.

Asami, Taichi, et al.. (2014). Efficient data selection for speech recognition based on prior confidence estimation using speech and monophone models. Computer Speech & Language. 28(6). 1287–1297.

18.

Masataki, Hirokazu, et al.. (2013). Speech Recognition Technology That Can Adapt to Changes in Service and Environment. NTT technical review. 11(7). 12–17. 1 indexed citations

19.

Asami, Taichi, et al.. (2011). Spoken document confidence estimation using contextual coherence. 1961–1964. 4 indexed citations

20.

Asami, Taichi, Koji Iwano, & Sadaoki Furui. (2005). Stream-weight optimization by LDA and adaboost for multi-stream speaker verification. 2185–2188. 4 indexed citations

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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