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International Speech Communication Association (ISCA)

INTERSPEECH Conference (INTERSPEECH)

Location: Dublin , Ireland

Conference dates: 8/20/2023 - 8/24/2023

Research H-index
70

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 58 46 100 15
Computer Science 19 507 1940 70
Psychology 2 37 70 17

Call for Papers

NTERSPEECH 2023 embraces a broad range of science and technology in speech, language and communication, including – but not limited to – the following topics:

● Speech Perception, Production and Acquisition
● Speech Synthesis
● Phonetics, Phonology, and Prosody
● Spoken Language Generation
● Paralinguistics in Speech and Language
● Automatic Speech Recognition
● Analysis of Conversation
● Spoken Dialogue and Conversational AI Systems
● Speech, Voice, and Hearing Disorders
● Spoken Language Translation, Information Retrieval, Summarization
● Speaker and Language Identification
● Technologies and Systems for New Applications
● Speech and Audio Signal Analysis
● Resources and Evaluation
● Speech Coding and Enhancement

Overview

The scientific conference ranking presented on this page comprehensively evaluates conferences within the field of Psychology. Prepared by Research.com, a leader in science research data across all major academic fields since 2014, this ranking leverages trusted metrics to offer meaningful insights into the influence and quality of Psychology conferences worldwide.

The position of each conference in this ranking is determined by a unique bibliometric score, meticulously developed by Research.com. This score is computed using two primary factors: the estimated h-index and the number of leading scientists who have participated in the conference during the previous three years. This approach ensures that the ranking reflects both the scholarly impact and the caliber of contributors associated with each event.

The 2024 ranking includes Impact Score values gathered on 2024-11-27. The methodology involved the examination of more than 377 conferences, each selected following a detailed inspection and rigorous evaluation process. This process entailed comprehensive analysis of over 871 scientific documents published in the past three years by 10,697 preeminent scientists specializing in Psychology. Such depth of analysis underscores the credibility and authority of the ranking.

For those interested in a detailed explanation of how the ranking scores were calculated and to understand the underlying methodology in greater depth, 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 Conference of the International Speech Communication Association (based on the number of publications) are:

  • Shrikanth S. Narayanan (158 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Haizhou Li (124 papers) published 10 papers at the last edition, 4 less than at the previous edition,
  • Björn Schuller (108 papers) published 11 papers at the last edition, 7 less than at the previous edition,
  • John H. L. Hansen (89 papers) published 2 papers at the last edition, 5 less than at the previous edition,
  • Junichi Yamagishi (77 papers) published 3 papers at the last edition, 6 less 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 Conference of the International Speech Communication Association (based on the number of publications) are:

  • Microsoft (281 papers) published 33 papers at the last edition, 4 less than at the previous edition,
  • Google (239 papers) published 49 papers at the last edition, 18 more than at the previous edition,
  • Carnegie Mellon University (232 papers) published 35 papers at the last edition, 24 more than at the previous edition,
  • Johns Hopkins University (229 papers) published 32 papers at the last edition, 2 more than at the previous edition,
  • Chinese Academy of Sciences (221 papers) published 23 papers at the last edition, 22 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 2021 edition, 9.01% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.96% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.36% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.32% of all publications and 44.37% 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.

Institutions with the Highest Level of Participation

One crucial element missing from this discussion about the International Speech Communication Association conference is an examination of the institutions with the highest level of participation. This section can help provide a clear understanding of the leading universities and colleges that are instrumental in impacting the dialogue and advancement in the areas of Speech Recognition, Artificial Intelligence, and Natural Language Processing. The University of California, Los Angeles (UCLA), has consistently been at the forefront of research presented at the conference. For example, one paper on "Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training" that generated a significant number of citations was authored by researchers from this institution. Alongside UCLA, Stanford University and the Massachusetts Institute of Technology (MIT) have also made significant contributions–all of these institutions have strong departments and research programs in the areas of focus at this conference. For those considering a career in psychology with a particular interest in the intersection of artificial intelligence and natural language processing, it might be beneficial to explore the best colleges for psychology in California. This can help guide future research and open up opportunities for collaboration. Recognizing leading institutions in these fields can help those interested in these research topics align their educational and professional decisions more informedly.

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