Speech and dialogue systems
Speech and dialogue systems is a research topic within Artificial Intelligence. Science Explorer counts 27k research works in it since 1951. 21.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the modeling and optimization of dialogue acts in spoken language systems, utilizing techniques such as Markov decision processes, user simulation, multimodal interaction, reinforcement learning, natural language generation, and the hidden information state model. The research also delves into semantic processing, referring expressions, and the management of dialogues in various contexts.
- Spoken Dialogue Systems
- Markov Decision Processes
- User Simulation
- Multimodal Interaction
- Reinforcement Learning
- Natural Language Generation
- Hidden Information State Model
- Dialog Management
- Semantic Processing
- Referring Expressions
- Research works
- 27k fractional, since 1951
- In the world top 10%
- 6k per year above
- Top-10% rate
- 21.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +5% the tick is no change
Which countries lead Speech and dialogue systems research?
By volume, China and the United States publish the most (924 and 836 works in 2022–2025).
By volume, 2022–2025
- 1 China 924 works
- 2 United States 836 works
- 3 India 334 works
- 4 Japan 314 works
- 5 Germany 233 works
- 6 United Kingdom 213 works
- 7 France 139 works
- 8 South Korea 122 works
- 9 Canada 99 works
- 10 Italy 88 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Speech and dialogue systems research?
By volume in 2022–2025, Carnegie Mellon University publishes the most Speech and dialogue systems research, followed by Peking University and Tsinghua University.
By volume, 2022–2025
- 1 Carnegie Mellon UniversityUnited States 30 works
- 2 Peking UniversityChina 30 works
- 3 Tsinghua UniversityChina 29 works
- 4 Shanghai Jiao Tong UniversityChina 27 works
- 5 Beijing University of Posts and TelecommunicationsChina 25 works
- 6 Google (United States)United States 23 works
- 7 Amazon (United States)United States 22 works
- 8 Harbin Institute of TechnologyChina 22 works
- 9 University of EdinburghUnited Kingdom 21 works
- 10 University of Science and Technology of ChinaChina 20 works
Who are the leading researchers in Speech and dialogue systems?
The most-cited researchers publishing on Speech and dialogue systems include Yoshua Bengio, Thomas S. Huang and Trevor Darrell.
- 1 Yoshua Bengio Canada 17k citations
- 2 Thomas S. Huang United States 7.4k citations
- 3 Trevor Darrell United States 6.7k citations
- 4 Philip S. Yu United States 6.6k citations
- 5 Jason Weston Israel 6.3k citations
- 6 Salim Roukos United States 5.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Speech and dialogue systems research done?
The largest centres of Speech and dialogue systems research in 2022–2025 are Beijing (China), Tokyo (Japan), Shanghai (China) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Mountain View.
Largest cities, 2022–2025
Where it is the local speciality
- Mountain ViewUS · 23.7 works9.6×
Location quotient: how much more of its research is in Speech and dialogue systems than the world average.
Where is the best place to study Speech and dialogue systems?
Among universities, judged by research, Carnegie Mellon University, Beijing University of Posts and Telecommunications and Nanyang Technological University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Carnegie Mellon UniversityUnited States | 67.3 | 28.1% | 16.9× | 30 | -1.0% |
| 2 | Beijing University of Posts and TelecommunicationsChina | 59.9 | 6.6% | 9.2× | 25 | +256.2% |
| 3 | Nanyang Technological UniversitySingapore | 57.5 | 52.5% | 3.8× | 14 | +1.5% |
| 4 | Peking UniversityChina | 57.1 | 17.6% | 4.3× | 30 | +200.0% |
| 5 | Hong Kong University of Science and TechnologyHong Kong | 55.4 | 33.4% | 7.3× | 12 | -7.6% |
| 6 | Chinese University of Hong KongHong Kong | 51.8 | 30.7% | 5.8× | 18 | -57.3% |
| 7 | Tsinghua UniversityChina | 48.6 | 23.6% | 3.4× | 29 | +55.8% |
| 8 | National University of SingaporeSingapore | 46.5 | 31.3% | 3.6× | 15 | +1.5% |
| 9 | National Taiwan UniversityTaiwan | 46.3 | 23.8% | 7.0× | 16 | -4.2% |
| 10 | University of EdinburghUnited Kingdom | 46.1 | 20.3% | 6.3× | 21 | -52.8% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Speech and dialogue systems research growing?
Output in 2018–2022 was 5% higher than in 2013–2017, peaking in 2025.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.