ICASSP 2022 : IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Top Research Topics at International Conference on Acoustics, Speech, and Signal Processing?

• Artificial intelligence (36.85%)
• Speech recognition (30.12%)
• Algorithm (26.51%)

The conference covers a variety of subjects, including Artificial intelligence, Speech recognition, Algorithm, Pattern recognition and Computer vision. The Artificial intelligence works featured in International Conference on Acoustics, Speech, and Signal Processing incorporate elements from Machine learning and Natural language processing. The Natural language processing study tackled is a key component of adjacent topics in the area of Vocabulary.

The event investigates Speech recognition research which frequently intersects with Speech enhancement. Algorithm research featured in International Conference on Acoustics, Speech, and Signal Processing incorporates concerns from various other topics such as Mathematical optimization, Control theory and Signal processing. The featured Signal processing research is covered under the field of Signal.

Topics in Pattern recognition explored in the event were investigated in conjunction with research in Cluster analysis, Robustness (computer science) and Word error rate. Computer vision studies presented include Pixel and Image segmentation. Voice activity detection is a focus of the Speech processing works in International Conference on Acoustics, Speech, and Signal Processing.

What are the most cited papers published at the conference?

• Speech recognition with deep recurrent neural networks (5495 citations)
• Librispeech: An ASR corpus based on public domain audio books (2203 citations)
• SWITCHBOARD: telephone speech corpus for research and development (1613 citations)

Research areas of the most cited articles at International Conference on Acoustics, Speech, and Signal Processing:

Speech recognition, Artificial intelligence, Pattern recognition, Algorithm and Hidden Markov model are the main subjects of interest in the conference articles. Most of the works presented in the most cited papers deal with Speech recognition but they intersect with the subject of Artificial neural network. The works on Artificial intelligence tackled in the conference publications bring together disciplines like Vocabulary, Computer vision and Natural language processing.

What topics the last edition of the conference is best known for?

• Artificial intelligence
• Statistics
• Speech recognition

The previous edition focused in particular on these issues:

The aim of International Conference on Acoustics, Speech, and Signal Processing is to expand the discussion of research in Artificial intelligence, Signal processing, Speech recognition, Algorithm and Artificial neural network. It explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Computer vision and Pattern recognition. Issues in Pattern recognition were discussed, taking into consideration concepts from other disciplines like Convolution, Representation (mathematics) and Feature (computer vision).

While work presented in the event provided substantial information on Signal processing, it also covered topics in Domain (software engineering), Decoding methods, Task (project management) and Robustness (computer science). Specifically, studies on Speech processing are prevalent in the Speech recognition works discussed. The event focuses on Speech processing as well as the interrelated topic of Task analysis.

The most cited articles from the last conference are:

• Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset (21 citations)
• Recent Developments on Espnet Toolkit Boosted By Conformer (20 citations)
• Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition (19 citations)

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.

Top authors and change over time

The top authors publishing at International Conference on Acoustics, Speech, and Signal Processing (based on the number of publications) are:

• Yonina C. Eldar (110 papers) published 18 papers at the last edition, 6 more than at the previous edition,
• Shrikanth S. Narayanan (109 papers) published 3 papers at the last edition, 11 less than at the previous edition,
• Haizhou Li (103 papers) published 10 papers at the last edition, 2 more than at the previous edition,
• Tomohiro Nakatani (84 papers) published 7 papers at the last edition, 3 less than at the previous edition,
• Georgios B. Giannakis (78 papers) published 6 papers at the last edition, 3 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Acoustics, Speech, and Signal Processing (based on the number of publications) are:

• Microsoft (411 papers) published 41 papers at the last edition, 1 less than at the previous edition,
• Tsinghua University (336 papers) published 43 papers at the last edition, 1 less than at the previous edition,
• IBM (309 papers) published 25 papers at the last edition, 6 more than at the previous edition,
• Carnegie Mellon University (281 papers) published 25 papers at the last edition, 1 more than at the previous edition,
• Nanyang Technological University (264 papers) published 14 papers at the last edition, 1 more 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, 4.81% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.24% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.34% of all publications and 57.15% 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.