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Topic · Artificial Intelligence

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. 10.0% 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%
2.7k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+38%
the tick is no change
Largest producer
China
30% of the 10 largest, 2022-now
Speech and dialogue systems

Which countries lead Speech and dialogue systems research?

By volume, China and the United States publish the most (1.2k and 950 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.2k works
  2. 2 United States 950 works
  3. 3 India 417 works
  4. 4 Japan 344 works
  5. 5 Germany 265 works
  6. 6 United Kingdom 242 works
  7. 7 France 150 works
  8. 8 South Korea 145 works
  9. 9 Canada 112 works
  10. 10 Italy 102 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: 30.2%United States: 24.3%India: 10.7%Japan: 8.8%6 others listed: 26.0%30%largest
China1,178 · 30.2%United States950 · 24.3%India417 · 10.7%Japan344 · 8.8%6 others listed1,016 · 26.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead Speech and dialogue systems research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Speech and dialogue systems research, followed by Chinese Academy of Sciences and Carnegie Mellon University.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 66 works
  2. 2 Chinese Academy of SciencesChina 39 works
  3. 3 Carnegie Mellon UniversityUnited States 34 works
  4. 4 Tsinghua UniversityChina 34 works
  5. 5 Peking UniversityChina 33 works
  6. 6 Amazon (United States)United States 30 works
  7. 7 Shanghai Jiao Tong UniversityChina 30 works
  8. 8 Beijing University of Posts and TelecommunicationsChina 29 works
  9. 9 Microsoft (United States)United States 28 works
  10. 10 Alphabet (United States)United States 28 works

Who are the leading researchers in Speech and dialogue systems?

The most-cited researchers publishing on Speech and dialogue systems include Yoshua Bengio, Xiangyu Zhang and Dan J. Stein.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Xiangyu Zhang 327k citations
  3. 3 Dan J. Stein South Africa 306k citations
  4. 4 Yann LeCun United States 256k citations
  5. 5 Li Fei-Fei United States 225k citations
  6. 6 Kai You Wang China 224k citations
  7. 7 Trevor J. Darrell United States 206k citations
  8. 8 Jürgen Schmidhuber Switzerland 188k citations
  9. 9 Michael I. Jordan United States 182k citations
  10. 10 Christopher D. Manning United States 179k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Speech and dialogue systems?

The most cited paper in Speech and dialogue systems is "A tutorial on hidden Markov models and selected applications in speech recognition" (L. R. Rabiner, 1989), with 22,958 citations. Next come "Finding Structure in Time" (11,110) and "Cognitive radio: making software radios more personal" (9,191).

Most cited papers
#PaperReleasedCitations
1 A tutorial on hidden Markov models and selected applications in speech recognition L. R. Rabiner · Proceedings of the IEEE 1989 22,958
2 Finding Structure in Time Jeffrey L. Elman · Cognitive Science Mar 1990 11,110
3 Cognitive radio: making software radios more personal Joseph Mitola, Gerald Q. Maguire · IEEE Personal Communications 1999 9,191
4 Neural Collaborative Filtering Xiangnan He, Lizi Liao, Hanwang Zhang et al. Conference paperOpen access 3 Apr 2017 6,831
5 An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller Ebrahim H. Mamdani, S. ASSILIAN · International Journal of Human-Computer Studies Aug 1999 5,630
All 99 most cited papers, with filters and sorting

Where is Speech and dialogue systems research done?

The largest centres of Speech and dialogue systems research in 2022-now 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-now

  1. 1 BeijingChina 294 works
  2. 2 TokyoJapan 129 works
  3. 3 ShanghaiChina 94 works
  4. 4 SeoulSouth Korea 78 works
  5. 5 Hong KongChina 63 works
  6. 6 ShenzhenChina 55 works
  7. 7 SingaporeSingapore 54 works
  8. 8 GuangzhouChina 54 works
  9. 9 HangzhouChina 53 works
  10. 10 LondonUnited Kingdom 52 works

Where it is the local speciality

  1. Mountain ViewUS · 25.1 works9.5×
← less than its size predicts1×more →

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, Chinese University of Hong Kong, Nanyang Technological University and Tsinghua 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%10%20%30%mean 20.79%fractional works in this field (log) →share of work in the world top 10% →Nanyang Technologica…Chinese University o…Tsinghua UniversityPeking University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Chinese University of Hong KongChina 77.524.9%6.1×20 +191.7%
2Nanyang Technological UniversitySingapore 76.626.5%4.4×16 +133.7%
3Tsinghua UniversityChina 75.619.2%3.3×34 +43.8%
4Peking UniversityChina 73.414.5%3.6×33 +39.1%
5National University of SingaporeSingapore 73.419.9%3.2×17 +67.4%
6Hong Kong University of Science and TechnologyChina 72.519.7%7.7×14 +120.6%
7Carnegie Mellon UniversityUnited States 72.417.5%18.1×34 -42.4%
8Stanford UniversityUnited States 68.716.6%2.3×15 +15.6%
9University of Hong KongChina 68.427.1%2.9×12 +251.5%
10Beihang UniversityChina 67.422.0%3.7×18 +43.4%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Speech and dialogue systems, country by country

Is Speech and dialogue systems research growing?

Output in 2022-2025 was 38% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Speech and dialogue systems.

still counting19801990200020102020
grewheldshrank

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 Speech and dialogue systems as a percentage of every work published that year, 0.023% in 2024.

still counting0.020%0.040%0.060%Speech and dialogue systems0.027% in 202519801990200020102020

Fractional works of Speech and dialogue systems over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Speech and dialogue systems9.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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