Petr Schwarz

2.2k total citations
27 papers, 1.4k citations indexed

About

Petr Schwarz is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Petr Schwarz has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Petr Schwarz's work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (13 papers). Petr Schwarz is often cited by papers focused on Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (13 papers). Petr Schwarz collaborates with scholars based in Czechia, United States and Germany. Petr Schwarz's co-authors include Jaň Černocký, Lukáš Burget, Pavel Matějka, Ondřej Glembek, Martin Karafiát, Ariya Rastrow, Arnab Ghoshal, Daniel Povey, Kai Feng and Samuel Thomas and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Speech Communication and Computer Speech & Language.

In The Last Decade

Petr Schwarz

26 papers receiving 1.2k citations

Peers

Petr Schwarz
Sachin Kajarekar United States
Ondřej Glembek Czechia
Niko Brümmer Czechia
Adithya Renduchintala United States
František Grézl Czechia
Kishore Prahallad India
Matthew Wiesner United States
Pegah Ghahremani United States
Yuya Unno United States
Javier Gónzalez-Domínguez Spain
Sachin Kajarekar United States
Petr Schwarz
Citations per year, relative to Petr Schwarz Petr Schwarz (= 1×) peers Sachin Kajarekar

Countries citing papers authored by Petr Schwarz

Since Specialization
Citations

This map shows the geographic impact of Petr Schwarz'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 Petr Schwarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Schwarz more than expected).

Fields of papers citing papers by Petr Schwarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Petr Schwarz. 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 Petr Schwarz. The network helps show where Petr Schwarz may publish in the future.

Co-authorship network of co-authors of Petr Schwarz

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Schwarz. A scholar is included among the top collaborators of Petr Schwarz 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 Petr Schwarz. Petr Schwarz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Matějka, Pavel, Ondřej Glembek, Oldřich Plchot, et al.. (2018). BUT/Phonexia Bottleneck Feature Extractor. 283–287. 15 indexed citations
3.
Glembek, Ondřej, et al.. (2015). Migrating i-vectors between speaker recognition systems using regression neural networks. 2327–2331. 5 indexed citations
4.
Povey, Daniel, Lukáš Burget, Mohit Agarwal, et al.. (2010). Subspace Gaussian Mixture Models for speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 124 indexed citations
5.
Povey, Daniel, Lukáš Burget, Mohit Agarwal, et al.. (2010). The subspace Gaussian mixture model—A structured model for speech recognition. Computer Speech & Language. 25(2). 404–439. 210 indexed citations
6.
Ghoshal, Arnab, Daniel Povey, Mohit Agarwal, et al.. (2010). A novel estimation of feature-space MLLR for full-covariance models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). i. 4310–4313. 19 indexed citations
7.
Burget, Lukáš, Petr Schwarz, Mohit Agarwal, et al.. (2010). Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 123 indexed citations
8.
Burget, Lukáš, Ondřej Glembek, Martin Karafiát, et al.. (2009). BUT system for NIST 2008 speaker recognition evaluation. 2335–2338. 12 indexed citations
9.
Burget, Lukáš, et al.. (2008). Discriminative training and channel compensation for acoustic language recognition. 301–304. 18 indexed citations
10.
Matějka, Pavel, Lukáš Burget, Ondřej Glembek, et al.. (2008). BUT language recognition system for NIST 2007 evaluations. 739–742. 14 indexed citations
11.
Černocký, Jaň, Igor Szöke, Martin Karafiát, et al.. (2007). Search in Speech for Public Security and Defense. 1–7. 16 indexed citations
12.
Černocký, Jaň, Lukáš Burget, Petr Schwarz, et al.. (2007). Search in speech, language identification and speaker recognition in Speech@FIT. 1–6. 3 indexed citations
13.
Burget, Lukáš, Pavel Matějka, Petr Schwarz, Ondřej Glembek, & Jaň Černocký. (2007). Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System. IEEE Transactions on Audio Speech and Language Processing. 15(7). 1979–1986. 108 indexed citations
14.
Matějka, Pavel, Petr Schwarz, Lukáš Burget, & Jaň Černocký. (2006). Use of Anti-Models to Further Improve State-of-the-Art PRLM Language Recognition System. 1. I–197. 15 indexed citations
15.
Schwarz, Petr, Pavel Matějka, & Jaň Černocký. (2006). Hierarchical Structures of Neural Networks for Phoneme Recognition. 1. I–325. 156 indexed citations
16.
Matějka, Pavel, Lukáš Burget, Petr Schwarz, & Jaň Černocký. (2006). Brno University of Technology System for NIST 2005 Language Recognition Evaluation. 1–7. 58 indexed citations
17.
Matějka, Pavel, et al.. (2005). Phonotactic language identification using high quality phoneme recognition. 86 indexed citations
18.
Szöke, Igor, Petr Schwarz, Pavel Matějka, et al.. (2005). Comparison of keyword spotting approaches for informal continuous speech. 633–636. 109 indexed citations
19.
Schwarz, Petr. (2004). Towards lower error rates in phoneme recognition. 1 indexed citations
20.
Schwarz, Petr, Pavel Matějka, & Jaň Černocký. (2003). Recognition of phoneme strings using TRAP technique. 825–828. 6 indexed citations

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.

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