Emiru Tsunoo

527 total citations
36 papers, 271 citations indexed

About

Emiru Tsunoo is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emiru Tsunoo has authored 36 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Signal Processing, 24 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emiru Tsunoo's work include Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (17 papers). Emiru Tsunoo is often cited by papers focused on Speech and Audio Processing (20 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (17 papers). Emiru Tsunoo collaborates with scholars based in United States, Japan and Canada. Emiru Tsunoo's co-authors include Shinji Watanabe, Nobutaka Ono, Shigeki Sagayama, George Tzanetakis, Yuki Mitsufuji, Shusuke Takahashi, Yuichiro Koyama, Naoya Takahashi, Kazuki Shimada and Peter Bell and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Edinburgh Research Explorer and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Emiru Tsunoo

32 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emiru Tsunoo United States 9 204 149 79 11 9 36 271
Ziqiang Shi China 9 134 0.7× 121 0.8× 62 0.8× 4 0.4× 9 1.0× 38 224
Helin Wang China 10 220 1.1× 158 1.1× 109 1.4× 15 1.4× 4 0.4× 24 319
E.S. Parris United Kingdom 8 297 1.5× 230 1.5× 92 1.2× 7 0.6× 10 1.1× 10 344
Yasunori Ohishi Japan 11 263 1.3× 183 1.2× 103 1.3× 12 1.1× 4 0.4× 36 322
Arvindh Krishnaswamy United States 8 163 0.8× 103 0.7× 45 0.6× 27 2.5× 25 2.8× 13 184
Eduardo Fonseca Spain 5 138 0.7× 42 0.3× 62 0.8× 17 1.5× 7 0.8× 7 152
Marijn Huijbregts Netherlands 11 210 1.0× 230 1.5× 42 0.5× 5 0.5× 11 1.2× 23 278
Yanhua Long China 9 197 1.0× 226 1.5× 23 0.3× 6 0.5× 13 1.4× 62 280
Julien van Hout United States 8 149 0.7× 170 1.1× 43 0.5× 7 0.6× 11 1.2× 21 217

Countries citing papers authored by Emiru Tsunoo

Since Specialization
Citations

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

Fields of papers citing papers by Emiru Tsunoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emiru Tsunoo

This figure shows the co-authorship network connecting the top 25 collaborators of Emiru Tsunoo. A scholar is included among the top collaborators of Emiru Tsunoo 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 Emiru Tsunoo. Emiru Tsunoo 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.
Tsunoo, Emiru, Yuki Saito, Wataru Nakata, & Hiroshi Saruwatari. (2025). Causal Speech Enhancement with Predicting Semantics based on Quantized Self-supervised Learning Features. 1–5.
2.
3.
Arora, Siddhant, Jee-weon Jung, Yifan Peng, et al.. (2024). UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions. 2754–2774. 1 indexed citations
4.
Arora, Siddhant, et al.. (2023). Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History. 1–5. 2 indexed citations
5.
6.
Arora, Siddhant, et al.. (2023). Tensor decomposition for minimization of E2E SLU model toward on-device processing. 710–714. 1 indexed citations
7.
Arora, Siddhant, et al.. (2023). E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge. 1–2. 1 indexed citations
8.
9.
Tsunoo, Emiru, et al.. (2022). Run-and-Back Stitch Search: Novel Block Synchronous Decoding For Streaming Encoder-Decoder ASR. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8287–8291. 2 indexed citations
10.
Shimada, Kazuki, Yuichiro Koyama, Shusuke Takahashi, et al.. (2022). Multi-ACCDOA: Localizing And Detecting Overlapping Sounds From The Same Class With Auxiliary Duplicating Permutation Invariant Training. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 316–320. 37 indexed citations
11.
Koyama, Yuichiro, Masafumi Takahashi, Kazuki Shimada, et al.. (2022). Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8872–8876. 8 indexed citations
12.
Tsunoo, Emiru, et al.. (2021). Streaming Transformer Asr With Blockwise Synchronous Beam Search. 22–29. 26 indexed citations
13.
Tsunoo, Emiru, et al.. (2021). Data Augmentation Methods for End-to-End Speech Recognition on Distant-Talk Scenarios. 301–305. 8 indexed citations
14.
15.
Tsunoo, Emiru, et al.. (2019). End-to-End Adaptation with Backpropagation Through WFST for On-Device Speech Recognition System. 764–768. 4 indexed citations
16.
Tsunoo, Emiru, Ondřej Klejch, Peter Bell, & Steve Renals. (2017). Hierarchical recurrent neural network for story segmentation using fusion of lexical and acoustic features. Edinburgh Research Explorer. 525–532. 8 indexed citations
17.
Tsunoo, Emiru, Peter Bell, & Steve Renals. (2017). Hierarchical Recurrent Neural Network for Story Segmentation. Edinburgh Research Explorer. 2919–2923. 12 indexed citations
18.
Tsunoo, Emiru, et al.. (2010). Music mood classification by rhythm and bass-line unit pattern analysis. 265–268. 7 indexed citations
19.
Tsunoo, Emiru, George Tzanetakis, Nobutaka Ono, & Shigeki Sagayama. (2010). Beyond Timbral Statistics: Improving Music Classification Using Percussive Patterns and Bass Lines. IEEE Transactions on Audio Speech and Language Processing. 19(4). 1003–1014. 24 indexed citations
20.
Tsunoo, Emiru, Nobutaka Ono, & Shigeki Sagayama. (2009). Musical Bass-Line Pattern Clustering And Its Application To Audio Genre Classification.. Zenodo (CERN European Organization for Nuclear Research). 11 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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