Tetsuya Takiguchi

3.6k total citations
239 papers, 2.4k citations indexed

About

Tetsuya Takiguchi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tetsuya Takiguchi has authored 239 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Signal Processing, 120 papers in Artificial Intelligence and 61 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tetsuya Takiguchi's work include Speech and Audio Processing (129 papers), Speech Recognition and Synthesis (102 papers) and Music and Audio Processing (79 papers). Tetsuya Takiguchi is often cited by papers focused on Speech and Audio Processing (129 papers), Speech Recognition and Synthesis (102 papers) and Music and Audio Processing (79 papers). Tetsuya Takiguchi collaborates with scholars based in Japan, United States and United Kingdom. Tetsuya Takiguchi's co-authors include Yasuo Ariki, Ryoichi Takashima, Toru Nakashika, Ryo Aihara, Jinhui Chen, Zhaojie Luo, Yuki Takashima, Atsushi Ohazama, Makoto Kobayashi and K. Hasegawa and has published in prestigious journals such as Science Advances, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

Tetsuya Takiguchi

209 papers receiving 2.2k citations

Peers

Tetsuya Takiguchi
Kien Nguyen Australia
Yong‐Deok Kim South Korea
David Marshall United Kingdom
Weidi Xie United Kingdom
John N. Carter United Kingdom
James T. Heaton United States
Taeg Keun Whangbo South Korea
Tetsuya Takiguchi
Citations per year, relative to Tetsuya Takiguchi Tetsuya Takiguchi (= 1×) peers Yu‐Ching Lin

Countries citing papers authored by Tetsuya Takiguchi

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Takiguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Takiguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Takiguchi. A scholar is included among the top collaborators of Tetsuya Takiguchi 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 Tetsuya Takiguchi. Tetsuya Takiguchi 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
1.
Okamoto, Takuma, et al.. (2023). Harmonic-Net: Fundamental Frequency and Speech Rate Controllable Fast Neural Vocoder. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 1902–1915. 7 indexed citations
2.
Pellet, Victor, et al.. (2023). Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision. Remote Sensing. 16(1). 170–170. 4 indexed citations
3.
Okamoto, Takuma, Ryoichi Takashima, Tetsuya Takiguchi, et al.. (2021). High-Intelligibility Speech Synthesis for Dysarthric Speakers with LPCNet-Based TTS and CycleVAE-Based VC. 7058–7062. 10 indexed citations
4.
Okamoto, Takuma, Ryoichi Takashima, Tetsuya Takiguchi, et al.. (2021). Full-Band LPCNet: A Real-Time Neural Vocoder for 48 kHz Audio With a CPU. IEEE Access. 9. 94923–94933. 10 indexed citations
5.
Takiguchi, Tetsuya, et al.. (2015). Investigation of Classification Using Pitch Features for Children with Autism Spectrum Disorders and Typically Developing Children. 5(1). 1–5. 9 indexed citations
6.
Tanaka, Katsuyuki, et al.. (2015). Word-error correction of continuous speech recognition based on normalized relevance distance. International Conference on Artificial Intelligence. 1257–1262. 7 indexed citations
7.
Takashima, Ryoichi, Ryo Aihara, Tetsuya Takiguchi, & Yasuo Ariki. (2013). Noise-robust voice conversion based on spectral mapping on sparse space.. SSW. 71–75. 11 indexed citations
8.
Takiguchi, Tetsuya, et al.. (2013). RGB-D Based 3D-Object Recognition by LLC Using Depth Spatial Pyramid. IEICE Technical Report; IEICE Tech. Rep.. 112(441). 43–48.
9.
Tanaka, Yuto, Yasuo Ariki, & Tetsuya Takiguchi. (2013). Unknown Object Identification Using Category Visual Words with Rejection Function.. Machine Vision and Applications. 375–378. 1 indexed citations
10.
Aihara, Ryo, Ryoichi Takashima, Tetsuya Takiguchi, & Yasuo Ariki. (2012). Consonant enhancement for articulation disorders based on non-negative matrix factorization. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 6 indexed citations
11.
Takashima, Ryoichi, et al.. (2012). Robust feature extraction to utterance fluctuations due to articulation disorders based on sparse expression. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 1 indexed citations
12.
Tamura, Satoshi, Chiyomi Miyajima, Norihide Kitaoka, et al.. (2010). CENSREC-1-AV: an audio-visual corpus for noisy bimodal speech recognition.. AVSP. 6. 26 indexed citations
13.
Takiguchi, Tetsuya, et al.. (2010). Sudden Noise Reduction Based on GMM with Noise Power Estimation. Journal of Software Engineering and Applications. 3(4). 341–346. 5 indexed citations
14.
Nakashika, Toru, Tetsuya Takiguchi, & Yasuo Ariki. (2010). Iterative basis generation and supervised non-negative matrix factorization for signal analysis. IEICE Technical Report; IEICE Tech. Rep.. 110(357). 195–200. 1 indexed citations
15.
Ariki, Yasuo, et al.. (2009). Situation Recognition Using 3D Positional Information of Ball from Monocular Soccer Image Sequence. 109–112. 3 indexed citations
16.
Takiguchi, Tetsuya, et al.. (2007). Tagging Video Contents Based on Interest Estimation from Facial Expression. IEICE Technical Report; IEICE Tech. Rep.. 107(384). 13–18. 1 indexed citations
17.
Takiguchi, Tetsuya, et al.. (2007). An Investigation for AdaBoost using SVM as Weak Learner. IEICE technical report. Speech. 107(406). 109–114. 2 indexed citations
18.
Kitaoka, Norihide, Takeshi Yamada, Tetsuya Takiguchi, et al.. (2006). Progress Report of SLP Noisy Speech Recognition Evaluation WG : Individual evaluation framework for each factor affecting recognition performance (2). IEICE technical report. Speech. 106(405). 1–6. 3 indexed citations
19.
Ichikawa, Osamu, Tetsuya Takiguchi, & Masafumi Nishimura. (2003). Speech Enhancement by Profile Fitting Method. IEICE Transactions on Information and Systems. 86(3). 514–521. 3 indexed citations
20.
Takiguchi, Tetsuya, et al.. (1993). Molten Iron Fragment as a Middle Ear Foreign Body.. Practica Oto-Rhino-Laryngologica. 86(2). 195–197.

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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