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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. 1 China 924 works
  2. 2 United States 836 works
  3. 3 India 334 works
  4. 4 Japan 314 works
  5. 5 Germany 233 works
  6. 6 United Kingdom 213 works
  7. 7 France 139 works
  8. 8 South Korea 122 works
  9. 9 Canada 99 works
  10. 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.

China: 28.0%United States: 25.3%India: 10.1%Japan: 9.5%6 others listed: 27.1%28%largest
China924 · 28.0%United States836 · 25.3%India334 · 10.1%Japan314 · 9.5%6 others listed894 · 27.1%

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.

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. 1 Yoshua Bengio Canada 17k citations
  2. 2 Thomas S. Huang United States 7.4k citations
  3. 3 Trevor Darrell United States 6.7k citations
  4. 4 Philip S. Yu United States 6.6k citations
  5. 5 Jason Weston Israel 6.3k citations
  6. 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

  1. 1 Beijing China 256 works
  2. 2 Tokyo Japan 117 works
  3. 3 Shanghai China 82 works
  4. 4 Seoul South Korea 63 works
  5. 5 Hong Kong China 54 works
  6. 6 Singapore Singapore 48 works
  7. 7 Guangzhou China 47 works
  8. 8 London United Kingdom 47 works
  9. 9 Shenzhen China 46 works
  10. 10 Hangzhou China 44 works

Where it is the local speciality

  1. Mountain ViewUS · 23.7 works9.6×
← less than its size predictsmore →

Location quotient: how much more of its research is in Speech and dialogue systems than the world average.

See Speech and dialogue systems on the map

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.

0%20%40%60%mean 26.79%fractional works in this node (log) →share in the world top 10% →Carnegie Mellon University: 30, 28.1%Beijing University of Posts and Telecommunications: 25, 6.6%Nanyang Technological University: 14, 52.5%Peking University: 30, 17.6%Hong Kong University of Science and Technology: 12, 33.4%Chinese University of Hong Kong: 18, 30.7%Tsinghua University: 29, 23.6%National University of Singapore: 15, 31.3%National Taiwan University: 16, 23.8%University of Edinburgh: 21, 20.3%Nanyang Technologica…Carnegie Mellon Univ…Peking UniversityBeijing University o…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Carnegie Mellon UniversityUnited States 67.328.1%16.9×30 -1.0%
2 Beijing University of Posts and TelecommunicationsChina 59.96.6%9.2×25 +256.2%
3 Nanyang Technological UniversitySingapore 57.552.5%3.8×14 +1.5%
4 Peking UniversityChina 57.117.6%4.3×30 +200.0%
5 Hong Kong University of Science and TechnologyHong Kong 55.433.4%7.3×12 -7.6%
6 Chinese University of Hong KongHong Kong 51.830.7%5.8×18 -57.3%
7 Tsinghua UniversityChina 48.623.6%3.4×29 +55.8%
8 National University of SingaporeSingapore 46.531.3%3.6×15 +1.5%
9 National Taiwan UniversityTaiwan 46.323.8%7.0×16 -4.2%
10 University of EdinburghUnited Kingdom 46.120.3%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.

19801990200020102020
grewheldshrank

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.