Rob Clark
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- 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
-
- Speech and Audio Processing 2
- Music and Audio Processing 1
- Co-authors
- Ron J. Weiss (2 shared papers)Yonghui Wu (2 shared papers)Heiga Zen (1 shared paper)Jia Ye (1 shared paper)Zhifeng Chen (1 shared paper)Zhang Yu (1 shared paper)Tom Kenter (5 shared papers)Ying Xiao (1 shared paper)
- Journals
- Journal of Dentistry (1 paper)International Conference on Machine Learning (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesHong KongSwitzerland
In The Last Decade
Rob Clark
11 papers receiving 580 citations
Rob Clark's Hit Papers
Peers
Comparison fields: 5 of 38
- Signal Processing 357
- Artificial Intelligence 520
- Computer Vision and Pattern Recognition 75
- Experimental and Cognitive Psychology 30
- Complementary and Manual Therapy 3
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 | 452 |
| 2 | Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. | 2017 | 91 |
| 3 | CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network | 2019 | 18 |
| 4 | 2020 | 18 | |
| 5 | 2019 | 16 | |
| 6 | 1993 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2016 | 6 | |
| 9 | 2023 | 4 | |
| 10 | Translation and Prosody in Swiss Languages | 2014 | 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 628 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), Phonetics and Phonology Research (2 papers), Topic Modeling (2 papers), Speech and Audio Processing (2 papers), Music and Audio Processing (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Signal Processing (357 citations), Artificial Intelligence (520 citations), Computer Vision and Pattern Recognition (75 citations), Experimental and Cognitive Psychology (30 citations) and Complementary and Manual Therapy (3 citations). Rob Clark has collaborated with scholars based in United States, Hong Kong and Switzerland. Frequent co-authors include Ron J. Weiss, Yonghui Wu, Heiga Zen, Jia Ye, Zhifeng Chen, Zhang Yu, Tom Kenter, Ying Xiao, Daisy Stanton and Yannis Agiomyrgiannakis. Their work appears in journals such as Journal of Dentistry, International Conference on Machine Learning, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and arXiv (Cornell University).
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.