- Research works
- 28 ▲ 119% vs 2018-21
- Citations
- 412 14.7 per fractional work
- Top-10% rate
- 14.7% all institutions 10.0%
- Open access
- 47% world 40%
- International
- 64% world 18%
Not ranked overall: SpeechTech (Czechia) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does SpeechTech (Czechia) work in?
In all years, 76% of research at SpeechTech (Czechia) is in Physical Sciences, 17% in Social Sciences. Its largest fields are Computer Science (62%), Engineering (11%), Psychology (7%). It does 1.7× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 3 domains and 11 fields, with their numbers
- Physical Sciences2176.5%
- Computer Science1762.2%
- Engineering310.7%
- Environmental Science01.2%
- Materials Science01.2%
- Physics and Astronomy01.2%
- Social Sciences517.0%
- Psychology26.5%
- Social Sciences25.7%
- Arts and Humanities13.0%
- Decision Sciences01.8%
- Health Sciences26.5%
- Medicine14.1%
- Health Professions12.4%
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.6×. Every wedge is a field page.
All 7 fields, with their numbers
- Computer Science6.59×5 works
- Decision Sciences5.68×0 works
- Psychology3.00×1 works
- Health Professions1.39×0 works
- Engineering0.95×1 works
- Environmental Science0.74×0 works
- Medicine0.66×1 works
Which keywords describe research at SpeechTech (Czechia)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Acoustic Modeling, Deep Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement and Corpus Linguistics.
- Language Acquisition
- Culture
- Translation
- Self-Organizing Maps
- Backpropagation Learning
- Audio Signal Classification
- Markov Decision Processes
- Neural Machine Translation
- Corpus Linguistics
- Audio-Visual Speech Recognition
- Acoustic Modeling
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Deep Neural Networks
- Speech Enhancement
- Feature Extraction
- Statistical Machine Translation
- Spoken Dialogue Systems
- Music Information Retrieval
- Multilingualism
- Speech Perception
- Machine Translation
- Language
Size is fractional works in all years in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 24 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 24 words, with their numbers
- Deep Learning7▲ 12×8 topics
- Neural Networks6▲ 21×7 topics
- Convolutional Neural Networks5▲ 45×2 topics
- Acoustic Modeling4▲ 414×1 topic
- Deep Neural Networks4▲ 208×1 topic
- Audio-Visual Speech Recognition3▲ 192×1 topic
- Speech Enhancement3▲ 192×1 topic
- Corpus Linguistics2▲ 41×2 topics
- Feature Extraction2▲ 28×4 topics
- Neural Machine Translation2▲ 91×1 topic
- Statistical Machine Translation2▲ 91×1 topic
- Markov Decision Processes2▲ 276×1 topic
- Spoken Dialogue Systems2▲ 276×1 topic
- Audio Signal Classification2▲ 165×1 topic
- Music Information Retrieval2▲ 165×1 topic
- Backpropagation Learning1▲ 47×1 topic
- Multilingualism1▲ 30×2 topics
- Self-Organizing Maps1▲ 47×1 topic
- Speech Perception1▲ 39×2 topics
- Translation1▲ 20×2 topics
- Machine Translation1▲ 36×2 topics
- Culture1▲ 7.3×1 topic
- Language1▲ 16×1 topic
- Language Acquisition1▲ 38×2 topics
Which research topics does SpeechTech (Czechia) publish most on?
By volume in 2022-now: Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing and Grey System Theory Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Speech and Audio Processing Signal Processing 2 works
- 2 Speech Recognition and Synthesis Artificial Intelligence 1 works
- 3 Music and Audio Processing Signal Processing 1 works
- 4 Grey System Theory Applications Management Science and Operations Research 0 works
- 5 Usability and User Interface Design Human-Computer Interaction 0 works
- 6 Emotion and Mood Recognition Experimental and Cognitive Psychology 0 works
- 7 Infant Health and Development Pharmacy 0 works
- 8 Thermal Radiation and Cooling Technologies Civil and Structural Engineering 0 works
- 9 Gas Sensing Nanomaterials and Sensors Electrical and Electronic Engineering 0 works
- 10 Health and Well-being Studies Clinical Psychology 0 works
How open and international is its research?
Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 40% of research is openly available.
World: 18% is written across borders.
How has SpeechTech (Czechia)'s research output changed?
Output in 2022-2025 was 119% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is SpeechTech (Czechia) as a percentage of every work published that year, 0.000041% in 2023.
Fractional works of SpeechTech (Czechia) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Pilsen
- University of West Bohemia in Pilsen
- University Hospital Plzen
- Research and Testing Institute Plzen (Czechia)
- Biopticka Laborator (Czechia)
- Pilsen Tools (Czechia)
- Doosan (Czechia)
- Škoda JS (Czechia)
- ETD Transformatory (Czechia)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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