World's Best Scientists 2026 revealed!
IEEE

2022 IEEE Spoken Language Technology Workshop (SLT 2022) (SLT)

Location: Doha , Qatar

Submission deadline: 7/1/2022

Conference dates: 1/9/2023 - 1/12/2023

Research H-index
29

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 310 6 6 3
Computer Science 68 129 213 29

Call for Papers

We invite papers in all areas of spoken language processing, with
emphasis placed on the following topics:

Automatic speech recognition
Spoken language understanding
Speech-to-text systems
Spoken dialog systems
Multilingual language processing
Robustness in automatic speech recognition
Spoken document retrieval
Speech-to-speech translation
Text-to-speech systems
Spontaneous speech processing
Speech summarization
New applications of automatic speech recognition
Speaker and language recognition
End-to-end/joint training of speech enhancement and recognition

Overview

The scientific conference ranking presented on this page highlights leading events in the field of Engineering and Technology. This ranking has been meticulously prepared by Research.com, a prominent website dedicated to providing authoritative and trusted data on scientific contributions since 2014. Renowned for its comprehensive coverage across all major scientific disciplines, including Engineering and Technology, Research.com ensures the utmost credibility and reliability of its analyses and data.

The position of each conference within the ranking is determined by a distinctive bibliometric score developed by Research.com. This score is calculated using an advanced methodology that combines the estimated h-index with the number of leading scientists who have participated in each conference over the preceding three years. Through this approach, the ranking offers a robust and objective assessment of the scientific impact and influence of each conference.

The Impact Score values provided in this listing were collected as of 2024-11-27, ensuring that the data reflects the most current state of scientific communication in Engineering and Technology. The ranking process involved a thorough review and rigorous examination of over 2,262 conferences. These conferences were selected after a careful analysis of more than 26,934 scientific documents published in the last three years by 9,385 distinguished and respected scientists in this area. This comprehensive evaluation highlights the depth of research and the expert analysis that underpin the final rankings.

For a detailed explanation of the methodology used to compute the ranking scores and further insights into the scoring process, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing at Spoken Language Technology Workshop (based on the number of publications) are:

  • Dilek Hakkani-Tur (14 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • Steve Young (8 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Gokhan Tur (8 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • Giuseppe Riccardi (7 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Florian Metze (7 papers) published 4 papers at the last edition, 2 more than at the previous edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing at Spoken Language Technology Workshop (based on the number of publications) are:

  • Microsoft (29 papers) published 12 papers at the last edition, 3 more than at the previous edition,
  • Carnegie Mellon University (25 papers) published 8 papers at the last edition, 1 more than at the previous edition,
  • IBM (12 papers) published 4 papers at the last edition, 2 more than at the previous edition,
  • University of Washington (11 papers) published 3 papers at the last edition, 1 more than at the previous edition,
  • University of Cambridge (11 papers) published 3 papers at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2014 edition, 0.97% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.16% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.49% of all publications and 19.61% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Online Degrees & Career Pathways

Exploring online degrees can significantly expand your career opportunities in tech fields closely related to computer science. For those interested in analyzing and interpreting complex data, pursuing one of the best data science master's programs online offers an affordable yet comprehensive pathway to mastering this skill set. Data science remains vital across industries, driving informed decision-making and innovation.

If you are drawn to designing user-friendly digital experiences, consider enrolling in a ux design degree online. This specialized area focuses on creating intuitive interfaces and enhancing user satisfaction, a key aspect of software development and product design.

The rapidly evolving fields of blockchain, cryptocurrency, and financial technology present exciting opportunities through a master in blockchain. This degree prepares students to understand and innovate within secure digital transaction systems and decentralized applications.

Finally, artificial intelligence continues to transform industries worldwide. Online artificial intelligence degree programs equip learners with the knowledge to develop intelligent systems, boosting employment prospects in a competitive and cutting-edge field.

Best Scientists who published in this Conference

Recently Published Articles