Gustav Eje Henter

2.1k total citations · 1 hit paper
60 papers, 977 citations indexed

About

Gustav Eje Henter is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Gustav Eje Henter has authored 60 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 29 papers in Signal Processing and 14 papers in Control and Systems Engineering. Recurrent topics in Gustav Eje Henter's work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (22 papers) and Speech and dialogue systems (19 papers). Gustav Eje Henter is often cited by papers focused on Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (22 papers) and Speech and dialogue systems (19 papers). Gustav Eje Henter collaborates with scholars based in Sweden, United Kingdom and Japan. Gustav Eje Henter's co-authors include Jonas Beskow, Simon Alexanderson, Taras Kucherenko, Éva Székely, Junichi Yamagishi, Thomas Merritt, Joakim Gustafson, Oliver Watts, Shinji Takaki and Simon King and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Pattern Recognition Letters.

In The Last Decade

Gustav Eje Henter

58 papers receiving 907 citations

Hit Papers

Listen, Denoise, Action! Audio-Driven Motion Synthesis wi... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models
    2023 84 citations Simon Alexanderson, Jonas Beskow et al. ACM Transactions on Graphics profile →

Peers

Gustav Eje Henter
E. Petajan United States
Mikio Nakano Japan
Tetsunori Kobayashi Japan
Matúš Pleva Slovakia
Akinobu Lee Japan
Piero Cosi Italy
Igor S. Pandžić Croatia
Alexander Gruenstein United States
Frédéric Elisei France
Stavros Petridis United Kingdom
E. Petajan United States
Gustav Eje Henter
Citations per year, relative to Gustav Eje Henter Gustav Eje Henter (= 1×) peers E. Petajan

Countries citing papers authored by Gustav Eje Henter

Since Specialization
Citations

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

Fields of papers citing papers by Gustav Eje Henter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustav Eje Henter. 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 Gustav Eje Henter. The network helps show where Gustav Eje Henter may publish in the future.

Co-authorship network of co-authors of Gustav Eje Henter

This figure shows the co-authorship network connecting the top 25 collaborators of Gustav Eje Henter. A scholar is included among the top collaborators of Gustav Eje Henter 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 Gustav Eje Henter. Gustav Eje Henter 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.
Henter, Gustav Eje, et al.. (2024). Exploring the Effectiveness of Evaluation Practices for Computer-Generated Nonverbal Behaviour. Applied Sciences. 14(4). 1460–1460. 2 indexed citations
2.
Kucherenko, Taras, et al.. (2024). Evaluating Gesture Generation in a Large-scale Open Challenge: The GENEA Challenge 2022. ACM Transactions on Graphics. 43(3). 1–28. 9 indexed citations
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Beskow, Jonas, et al.. (2023). OverFlow: Putting flows on top of neural transducers for better TTS. 6 indexed citations
7.
Kucherenko, Taras, et al.. (2023). A Comprehensive Review of Data‐Driven Co‐Speech Gesture Generation. Computer Graphics Forum. 42(2). 569–596. 38 indexed citations
8.
Henter, Gustav Eje, et al.. (2023). “Am I listening?”, Evaluating the Quality of Generated Data-driven Listening Motion. Ghent University Academic Bibliography (Ghent University). 6–10. 3 indexed citations
9.
Valentini-Botinhao, Cassia, et al.. (2023). Autovocoder: Fast Waveform Generation from a Learned Speech Representation Using Differentiable Digital Signal Processing. Edinburgh Research Explorer (University of Edinburgh). 1–5. 7 indexed citations
10.
Kucherenko, Taras, et al.. (2023). A Comprehensive Review of Data-Driven Co-Speech Gesture Generation. arXiv (Cornell University). 6 indexed citations
11.
Gooijer, Jan G. De, Gustav Eje Henter, & Ao Yuan. (2022). Kernel-based hidden Markov conditional densities. Computational Statistics & Data Analysis. 169. 107431–107431.
12.
Székely, Éva, et al.. (2022). Neural HMMS Are All You Need (For High-Quality Attention-Free TTS). ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7457–7461. 9 indexed citations
13.
Kucherenko, Taras, et al.. (2020). The GENEA Challenge 2020: Benchmarking gesture-generation systems on common data. Ghent University Academic Bibliography (Ghent University). 8 indexed citations
14.
Székely, Éva, Gustav Eje Henter, Jonas Beskow, & Joakim Gustafson. (2020). Breathing and Speech Planning in Spontaneous Speech Synthesis. KTH Publication Database DiVA (KTH Royal Institute of Technology). 7649–7653. 12 indexed citations
15.
Kucherenko, Taras, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, & Hedvig Kjellström. (2019). On the Importance of Representations for Speech-Driven Gesture Generation. Adaptive Agents and Multi-Agents Systems. 2072–2074. 1 indexed citations
16.
Székely, Éva, Gustav Eje Henter, & Joakim Gustafson. (2019). Casting to Corpus: Segmenting and Selecting Spontaneous Dialogue for Tts with a Cnn-lstm Speaker-dependent Breath Detector. 6925–6929. 14 indexed citations
17.
Takaki, Shinji, et al.. (2017). Adapting and controlling DNN-based speech synthesis using input codes. Edinburgh Research Explorer. 4905–4909. 51 indexed citations
18.
Richmond, Korin, Cassia Valentini-Botinhao, Gustav Eje Henter, et al.. (2016). Testing the consistency assumption: Pronunciation variant forced alignment in read and spontaneous speech synthesis. Edinburgh Research Explorer (University of Edinburgh). 33. 5155–5159. 8 indexed citations
19.
Aylett, Matthew P., et al.. (2014). A flexible front-end for HTS. 1283–1287. 1 indexed citations
20.
Henter, Gustav Eje & W. Bastiaan Kleijn. (2011). Intermediate-state HMMs to capture continuously-changing signal features. 1817–1820. 3 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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