Clara E. Rivera
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 4
- Natural Language Processing Techniques 3
- Topic Modeling 1
- Speech and dialogue systems 1
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- Phonetics and Phonology Research 2
- Co-authors
- Alexander Gutkin (4 shared papers)Oddur Kjartansson (4 shared papers)Simran Khanuja (1 shared paper)Alexis Conneau (1 shared paper)Min Ma (1 shared paper)Yu Zhang (1 shared paper)Vera Axelrod (1 shared paper)Siddharth Dalmia (1 shared paper)
- Partner nations
- United States
In The Last Decade
Clara E. Rivera
5 papers receiving 132 citations
Peers
Comparison fields: 5 of 23
- Signal Processing 73
- Artificial Intelligence 122
- Computer Vision and Pattern Recognition 19
- Computational Mechanics 9
- Experimental and Cognitive Psychology 4
Countries citing papers authored by Clara E. Rivera
This map shows the geographic impact of Clara E. Rivera'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 Clara E. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara E. Rivera more than expected).
Fields of papers citing papers by Clara E. Rivera
This network shows the impact of papers produced by Clara E. Rivera. 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 Clara E. Rivera. The network helps show where Clara E. Rivera may publish in the future.
Co-authors
The 12 scholars most cited alongside Clara E. Rivera, 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 | 2023 | 73 | |
| 2 | Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems | 2020 | 25 |
| 3 | Open-source Multi-speaker Corpora of the English Accents in the British Isles | 2020 | 23 |
| 4 | 2020 | 18 | |
| 5 | Open-Source High Quality Speech Datasets for Basque, Catalan and Galician | 2020 | 9 |
About Clara E. Rivera
Clara E. Rivera is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Language and Linguistics and Infectious Diseases, having authored 5 papers that have together received 148 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (4 papers), Natural Language Processing Techniques (3 papers), Phonetics and Phonology Research (2 papers), Speech and Audio Processing (1 paper), Lexicography and Language Studies (1 paper), Linguistics, Language Diversity, and Identity (1 paper), Topic Modeling (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Signal Processing (73 citations), Artificial Intelligence (122 citations), Computer Vision and Pattern Recognition (19 citations), Computational Mechanics (9 citations) and Experimental and Cognitive Psychology (4 citations). Clara E. Rivera has collaborated with scholars based in United States. Frequent co-authors include Alexander Gutkin, Oddur Kjartansson, Simran Khanuja, Alexis Conneau, Min Ma, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa and Ankur Bapna. Their work appears in journals such as Language Resources and Evaluation.
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.