Oldřich Plchot
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Electrical and Electronic Engineering
- Co-authors
- Lukáš BurgetPavel MatějkaOndřej GlembekJaň ČernockýDavid MartínezSandro CumaniJoaquín González-RodríguezOndřej Novotný
- Topics
- Speech Recognition and Synthesis (63 papers)Speech and Audio Processing (49 papers)Music and Audio Processing (42 papers)
In The Last Decade
Oldřich Plchot
68 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 1.5k
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 74
- Experimental and Cognitive Psychology 37
- Electrical and Electronic Engineering 11
Countries citing papers authored by Oldřich Plchot
This map shows the geographic impact of Oldřich Plchot'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 Oldřich Plchot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oldřich Plchot more than expected).
Fields of papers citing papers by Oldřich Plchot
This network shows the impact of papers produced by Oldřich Plchot. 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 Oldřich Plchot. The network helps show where Oldřich Plchot may publish in the future.
Co-authorship network of co-authors of Oldřich Plchot
This figure shows the co-authorship network connecting the top 25 collaborators of Oldřich Plchot. A scholar is included among the top collaborators of Oldřich Plchot 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 Oldřich Plchot. Oldřich Plchot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 74 | |
| 12 | 37 | |
| 13 | 9 | |
| 14 | 140 | |
| 15 | Speaker vectors from subspace Gaussian mixture model as complementary features for language identification. | 4 |
| 16 | A unified approach for audio characterization and its application to speaker recognition. | 17 |
| 17 | Phonotactic language recognition using i-vectors and phoneme posteriogram counts | 25 |
| 18 | 30 | |
| 19 | PCA-based Feature Extraction for Phonotactic Language Recognition | 14 |
| 20 | Data selection and calibration issues in automatic language recognition - investigation with BUT-AGNITIO NIST LRE 2009 system. | 21 |
About Oldřich Plchot
Oldřich Plchot is a scholar working on Signal Processing, Artificial Intelligence and Hardware and Architecture, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (63 papers), Speech and Audio Processing (49 papers) and Music and Audio Processing (42 papers). The work is most often cited by research in Signal Processing (1.3k citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (74 citations). Oldřich Plchot has collaborated with scholars based in Czechia, Spain and Italy. Frequent co-authors include Lukáš Burget, Pavel Matějka, Ondřej Glembek, Jaň Černocký, David Martínez, Sandro Cumani, Joaquín González-Rodríguez, Ondřej Novotný, Niko Brümmer and Javier Gónzalez-Domínguez. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.