Rob Clark
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 10
- Speech and dialogue systems 7
- Natural Language Processing Techniques 6
- Topic Modeling 2
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- Speech and Audio Processing 2
- Music and Audio Processing 1
- Co-authors
- Ron J. Weiss (2 shared papers)Yonghui Wu (2 shared papers)Zhang Yu (1 shared paper)Heiga Zen (1 shared paper)Jia Ye (1 shared paper)Zhifeng Chen (1 shared paper)Tom Kenter (5 shared papers)Yannis Agiomyrgiannakis (1 shared paper)
- Journals
- Journal of Dentistry (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)arXiv (Cornell University) (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Rob Clark
11 papers receiving 526 citations
Rob Clark's Hit Papers
Peers
Comparison fields: 5 of 39
- Signal Processing 327
- Artificial Intelligence 479
- Computer Vision and Pattern Recognition 64
- Complementary and Manual Therapy 5
- Experimental and Cognitive Psychology 27
Countries citing papers authored by Rob Clark
This map shows the geographic impact of Rob Clark'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 Rob Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Clark more than expected).
Fields of papers citing papers by Rob Clark
This network shows the impact of papers produced by Rob Clark. 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 Rob Clark. The network helps show where Rob Clark may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob Clark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech Hit paper breakdown → | 2019 | 401 |
| 2 | Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. | 2017 | 86 |
| 3 | CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network | 2019 | 15 |
| 4 | 2019 | 15 | |
| 5 | 2020 | 15 | |
| 6 | 1993 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2016 | 6 | |
| 9 | Translation and Prosody in Swiss Languages | 2014 | 4 |
| 10 | 2023 | 4 | |
| 11 | 2020 | 1 |
About Rob Clark
Rob Clark is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Networks and Communications and Infectious Diseases, having authored 11 papers that have together received 565 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (7 papers), Natural Language Processing Techniques (6 papers), Speech and Audio Processing (2 papers), Phonetics and Phonology Research (2 papers), Topic Modeling (2 papers), Network Security and Intrusion Detection (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Signal Processing (327 citations), Artificial Intelligence (479 citations), Computer Vision and Pattern Recognition (64 citations), Complementary and Manual Therapy (5 citations) and Experimental and Cognitive Psychology (27 citations). Rob Clark has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Ron J. Weiss, Yonghui Wu, Zhang Yu, Heiga Zen, Jia Ye, Zhifeng Chen, Tom Kenter, Yannis Agiomyrgiannakis, Yuxuan Wang and Zhifeng Chen. Their work appears in journals such as Journal of Dentistry, Infoscience (Ecole Polytechnique Fédérale de Lausanne), arXiv (Cornell University) and International Conference on Machine Learning.
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.