Hee-Soo Heo

1.1k total citations · 1 hit paper
29 papers, 586 citations indexed

About

Hee-Soo Heo is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hee-Soo Heo has authored 29 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 23 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hee-Soo Heo's work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (18 papers). Hee-Soo Heo is often cited by papers focused on Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (19 papers) and Music and Audio Processing (18 papers). Hee-Soo Heo collaborates with scholars based in South Korea, France and Canada. Hee-Soo Heo's co-authors include Jee-weon Jung, Ha-Jin Yu, Hye-jin Shim, Bong‐Jin Lee, Joon Son Chung, Hemlata Tak, Nicholas Evans, Ju-ho Kim, Hye-jin Shim and You Jin Kim and has published in prestigious journals such as IEEE Access, Digital Investigation and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Hee-Soo Heo

26 papers receiving 569 citations

Hit Papers

AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temp... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee-Soo Heo South Korea 11 485 485 106 23 10 29 586
Jee-weon Jung South Korea 15 600 1.2× 617 1.3× 150 1.4× 28 1.2× 15 1.5× 58 764
Hye-jin Shim South Korea 12 475 1.0× 444 0.9× 118 1.1× 22 1.0× 5 0.5× 22 560
Hemlata Tak France 10 472 1.0× 461 1.0× 182 1.7× 51 2.2× 10 1.0× 19 592
Laurent Besacier France 14 383 0.8× 536 1.1× 103 1.0× 5 0.2× 8 0.8× 44 588
Sergey Novoselov Russia 9 333 0.7× 324 0.7× 75 0.7× 19 0.8× 13 1.3× 24 398
Jichen Yang China 17 566 1.2× 505 1.0× 187 1.8× 48 2.1× 11 1.1× 49 681
Vishwa Gupta Canada 12 469 1.0× 427 0.9× 155 1.5× 5 0.2× 10 1.0× 45 589
V. Gupta Canada 9 511 1.1× 595 1.2× 66 0.6× 7 0.3× 8 0.8× 23 641
Galina Lavrentyeva Russia 6 256 0.5× 237 0.5× 83 0.8× 23 1.0× 9 0.9× 9 313
Anton Ragni United Kingdom 17 405 0.8× 688 1.4× 36 0.3× 6 0.3× 11 1.1× 50 739

Countries citing papers authored by Hee-Soo Heo

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Soo Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Soo Heo. 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 Hee-Soo Heo. The network helps show where Hee-Soo Heo may publish in the future.

Co-authorship network of co-authors of Hee-Soo Heo

This figure shows the co-authorship network connecting the top 25 collaborators of Hee-Soo Heo. A scholar is included among the top collaborators of Hee-Soo Heo 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 Hee-Soo Heo. Hee-Soo Heo 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
2.
Heo, Hee-Soo, et al.. (2023). Absolute Decision Corrupts Absolutely: Conservative Online Speaker Diarisation. 1–5. 3 indexed citations
3.
Huh, Jaesung, et al.. (2023). Disentangled Representation Learning for Multilingual Speaker Recognition. 5316–5320. 5 indexed citations
4.
Heo, Hee-Soo, et al.. (2023). Curriculum Learning for Self-supervised Speaker Verification. 4693–4697. 5 indexed citations
5.
Jung, Jee-weon, et al.. (2023). Encoder-decoder Multimodal Speaker Change Detection. 5311–5315. 2 indexed citations
6.
Jung, Jee-weon, et al.. (2022). Pushing the limits of raw waveform speaker recognition. Interspeech 2022. 2228–2232. 46 indexed citations
7.
Jung, Jee-weon, Hemlata Tak, Hye-jin Shim, et al.. (2022). SASV 2022: The First Spoofing-Aware Speaker Verification Challenge. Interspeech 2022. 2893–2897. 26 indexed citations
8.
Heo, Hee-Soo, et al.. (2022). Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8367–8371. 8 indexed citations
9.
Jung, Jee-weon, Hee-Soo Heo, Hemlata Tak, et al.. (2022). AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6367–6371. 156 indexed citations breakdown →
10.
Kim, You Jin, Hee-Soo Heo, Soyeon Choe, et al.. (2021). Look Who’s Talking: Active Speaker Detection in the Wild. 3675–3679. 9 indexed citations
11.
Jung, Jee-weon, Hee-Soo Heo, Hye-jin Shim, & Ha-Jin Yu. (2020). Knowledge Distillation in Acoustic Scene Classification. IEEE Access. 8. 166870–166879. 24 indexed citations
12.
Shim, Hye-jin, Hee-Soo Heo, Jee-weon Jung, & Ha-Jin Yu. (2020). Self-Supervised Pre-Training with Acoustic Configurations for Replay Spoofing Detection. 1091–1095. 5 indexed citations
13.
Jung, Jee-weon, Hee-Soo Heo, Ju-ho Kim, Hye-jin Shim, & Ha-Jin Yu. (2019). RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification. 1268–1272. 94 indexed citations
15.
Heo, Hee-Soo, Jee-weon Jung, Hye-jin Shim, & Ha-Jin Yu. (2019). Acoustic Scene Classification Using Teacher-Student Learning with Soft-Labels. 614–618. 15 indexed citations
16.
Jung, Jee-weon, Hee-Soo Heo, Hye-jin Shim, & Ha-Jin Yu. (2019). Distilling the Knowledge of Specialist Deep Neural Networks in Acoustic Scene Classification. Faculty Digital Archive (New York University Florence). 114–118. 10 indexed citations
17.
Jung, Jee-weon, et al.. (2018). D-vector based speaker verification system using Raw Waveform CNN. 9 indexed citations
19.
Heo, Hee-Soo, et al.. (2017). Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification. 1532–1536. 8 indexed citations
20.
Heo, Hee-Soo, et al.. (2016). Advanced b-vector system based deep neural network as classifier for speaker verification. 5465–5469. 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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