Ryo Aihara

437 total citations
35 papers, 304 citations indexed

About

Ryo Aihara is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Ryo Aihara has authored 35 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 30 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Ryo Aihara's work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (29 papers) and Music and Audio Processing (19 papers). Ryo Aihara is often cited by papers focused on Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (29 papers) and Music and Audio Processing (19 papers). Ryo Aihara collaborates with scholars based in Japan and United States. Ryo Aihara's co-authors include Tetsuya Takiguchi, Yasuo Ariki, Ryoichi Takashima, Toru Nakashika, Toshiyuki Hanazawa, Yuki Takashima, Gordon Wichern, Jonathan Le Roux, Kazuyuki Tanaka and Takao Fujii and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and IEICE Transactions on Information and Systems.

In The Last Decade

Ryo Aihara

32 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryo Aihara Japan 11 266 266 50 34 28 35 304
Wen-Chin Huang Japan 13 355 1.3× 426 1.6× 65 1.3× 51 1.5× 33 1.2× 38 508
Xurong Xie China 9 160 0.6× 217 0.8× 117 2.3× 75 2.2× 13 0.5× 35 272
Lifa Sun Hong Kong 9 454 1.7× 509 1.9× 78 1.6× 47 1.4× 66 2.4× 14 557
Songxiang Liu Hong Kong 14 349 1.3× 431 1.6× 46 0.9× 107 3.1× 71 2.5× 31 525
Rob Clark United States 7 327 1.2× 479 1.8× 15 0.3× 27 0.8× 64 2.3× 11 565
Thomas Merritt United Kingdom 9 191 0.7× 258 1.0× 14 0.3× 43 1.3× 35 1.3× 25 328
Daniel Tihelka Czechia 9 109 0.4× 195 0.7× 16 0.3× 40 1.2× 30 1.1× 44 238
Debadatta Pati India 11 232 0.9× 229 0.9× 22 0.4× 10 0.3× 29 1.0× 39 269
Ganesh Sivaraman United States 10 242 0.9× 265 1.0× 18 0.4× 100 2.9× 62 2.2× 21 352
Da-Rong Liu Taiwan 7 300 1.1× 440 1.7× 14 0.3× 61 1.8× 24 0.9× 9 508

Countries citing papers authored by Ryo Aihara

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Aihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Aihara

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Aihara. A scholar is included among the top collaborators of Ryo Aihara 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 Ryo Aihara. Ryo Aihara 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.
Takashima, Ryoichi, et al.. (2024). Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach. IEEE Access. 12. 36990–36999. 3 indexed citations
3.
Takashima, Yuki, et al.. (2021). Unsupervised domain adaptation for lip reading based on cross-modal knowledge distillation. EURASIP Journal on Audio Speech and Music Processing. 2021(1). 2 indexed citations
4.
Aihara, Ryo, et al.. (2019). Teacher-student Deep Clustering for Low-delay Single Channel Speech Separation. 7. 690–694. 14 indexed citations
5.
Aihara, Ryo, Tetsuya Takiguchi, & Yasuo Ariki. (2016). Parallel Dictionary Learning for Voice Conversion Using Discriminative Graph-Embedded Non-Negative Matrix Factorization. 292–296. 3 indexed citations
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Aihara, Ryo, Takao Fujii, Toru Nakashika, Tetsuya Takiguchi, & Yasuo Ariki. (2015). Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization. EURASIP Journal on Audio Speech and Music Processing. 2015(1). 4 indexed citations
10.
Aihara, Ryo, et al.. (2015). Multimodal voice conversion based on non-negative matrix factorization. EURASIP Journal on Audio Speech and Music Processing. 2015(1). 1 indexed citations
11.
Aihara, Ryo, et al.. (2015). Many-to-many voice conversion based on multiple non-negative matrix factorization. 2749–2753. 3 indexed citations
12.
13.
Aihara, Ryo, et al.. (2014). Exemplar-based emotional voice conversion using non-negative matrix factorization. 1–7. 17 indexed citations
14.
Tanaka, Kazuyuki, et al.. (2014). Error correction of automatic speech recognition based on normalized web distance. 2852–2856. 3 indexed citations
15.
Aihara, Ryo, Ryoichi Takashima, Tetsuya Takiguchi, & Yasuo Ariki. (2014). A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary. EURASIP Journal on Audio Speech and Music Processing. 2014(1). 17 indexed citations
16.
Aihara, Ryo, et al.. (2014). Multimodal voice conversion using non-negative matrix factorization in noisy environments. 3. 1542–1546. 11 indexed citations
17.
Aihara, Ryo, Toru Nakashika, Tetsuya Takiguchi, & Yasuo Ariki. (2014). Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary. 7894–7898. 31 indexed citations
18.
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
19.
Aihara, Ryo, Tetsuya Takiguchi, & Yasuo Ariki. (2013). Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF. 3–8.
20.
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

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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