Jahn Heymann
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech and Audio Processing 22
- Music and Audio Processing 16
-
- Speech Recognition and Synthesis 18
- Natural Language Processing Techniques 3
- Topic Modeling 2
- Co-authors
- Reinhold Haeb‐Umbach (22 shared papers)Lukas Drude (18 shared papers)Shinji Watanabe (2 shared papers)Matthew Wiesner (1 shared paper)Tomoki Hayashi (1 shared paper)Shigeki Karita (1 shared paper)Takaaki Hori (1 shared paper)Yuya Unno (1 shared paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Jahn Heymann
27 papers receiving 1.7k citations
Jahn Heymann's Hit Papers
Peers
Comparison fields: 5 of 71
- Signal Processing 1.5k
- Artificial Intelligence 1.4k
- Computational Mechanics 372
- Cognitive Neuroscience 102
- Computer Vision and Pattern Recognition 101
Countries citing papers authored by Jahn Heymann
This map shows the geographic impact of Jahn Heymann'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 Jahn Heymann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jahn Heymann more than expected).
Fields of papers citing papers by Jahn Heymann
This network shows the impact of papers produced by Jahn Heymann. 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 Jahn Heymann. The network helps show where Jahn Heymann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jahn Heymann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ESPnet: End-to-End Speech Processing Toolkit Hit paper breakdown → | 2018 | 848 |
| 2 | Neural network based spectral mask estimation for acoustic beamforming Hit paper breakdown → | 2016 | 321 |
| 3 | 2015 | 98 | |
| 4 | 2018 | 85 | |
| 5 | 2020 | 73 | |
| 6 | 2017 | 72 | |
| 7 | NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing | 2018 | 48 |
| 8 | Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition | 2016 | 37 |
| 9 | 2017 | 28 | |
| 10 | 2018 | 27 | |
| 11 | 2017 | 25 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2016 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2014 | 17 | |
| 18 | 2013 | 16 | |
| 19 | 2017 | 15 | |
| 20 | 2018 | 6 |
About Jahn Heymann
Jahn Heymann is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Speech and Audio Processing (22 papers), Speech Recognition and Synthesis (18 papers), Music and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (7 papers), Natural Language Processing Techniques (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Advanced Data Compression Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Signal Processing (1.5k citations), Artificial Intelligence (1.4k citations), Computational Mechanics (372 citations), Cognitive Neuroscience (102 citations) and Computer Vision and Pattern Recognition (101 citations). Jahn Heymann has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Reinhold Haeb‐Umbach, Lukas Drude, Shinji Watanabe, Matthew Wiesner, Tomoki Hayashi, Shigeki Karita, Takaaki Hori, Yuya Unno, Tsubasa Ochiai and Adithya Renduchintala. Their work appears in journals such as Computer Speech & Language and Proceedings of the IEEE.
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.