SPECOM : 23rd International Conference on Speech and Computer

Top Research Topics at International Conference on Speech and Computer?

• Speech recognition (48.37%)
• Artificial intelligence (39.66%)
• Natural language processing (24.57%)

The topics of Speech recognition, Artificial intelligence, Natural language processing, Artificial neural network and Speech synthesis are the focal point of discussions in International Conference on Speech and Computer. Word error rate, Hidden Markov model, Speaker recognition, Language model and Speech corpus are some of the study areas of Speech recognition discussed. Language model research discussed connects with the study of Vocabulary.

The event facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning and Pattern recognition. The works on Natural language processing deal in particular with Sentence.

What are the most cited papers published at the conference?

• TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation (91 citations)
• EmoChildRu: Emotional Child Russian Speech Corpus (25 citations)
• Medical Speech Recognition: Reaching Parity with Humans (25 citations)

Research areas of the most cited articles at International Conference on Speech and Computer:

The conference papers cover a variety of subjects, including Speech recognition, Artificial intelligence, Natural language processing, Speech corpus and Speaker recognition. The most cited articles with studies in Speech recognition featured incorporate elements of Vocabulary and Convolutional neural network. The published articles cover research in Artificial intelligence, particularly Deep neural networks, Artificial neural network, Deep learning and Hidden Markov model and how it is related with concepts in Order (business).

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

• Artificial intelligence
• Machine learning
• Speech recognition

The previous edition focused in particular on these issues:

The aim of International Conference on Speech and Computer is to expand the discussion of research in Speech recognition, Artificial intelligence, Natural language processing, Context (language use) and Artificial neural network. The close relationship between Convolutional neural network and Time delay neural network is one of the points of interest dissected in Speech recognition research. The work on Artificial intelligence tackled in the event brings together disciplines like Machine learning and Pattern recognition.

The presented Natural language processing study covers related areas such as Sentiment analysis and Language model and also touches on topics like Process (engineering). Artificial neural network study tackled is connected to the field of Biometrics. The conference focuses on Speech synthesis but sometimes tackles the closely related topic of Linear interpolation which is concerned with Embedding.

The most cited articles from the last conference are:

• Kurdish spoken dialect recognition using x-vector speaker embeddings (0 citations)
• Text-Independent Speaker Verification Employing CNN-LSTM-TDNN Hybrid Networks (0 citations)
• Automatic Selection of the Most Characterizing Features for Detecting COPD in Speech. (0 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 Speech and Computer (based on the number of publications) are:

• Rodmonga Potapova (24 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Alexey Karpov (19 papers) published 2 papers at the last edition the same number as at the previous edition,
• Vsevolod Potapov (18 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Irina S. Kipyatkova (15 papers) published 1 paper at the last edition the same number as at the previous edition,
• Tatiana Y. Sherstinova (14 papers) published 1 paper at the last edition, 1 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 Speech and Computer (based on the number of publications) are:

• Saint Petersburg State University (75 papers) published 7 papers at the last edition, 1 more than at the previous edition,
• Saint Petersburg State University of Information Technologies, Mechanics and Optics (71 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• University of West Bohemia (60 papers) published 6 papers at the last edition, 2 less than at the previous edition,
• Moscow State Linguistic University (40 papers) published 4 papers at the last edition, 1 less than at the previous edition,
• Russian Academy of Sciences (32 papers) published 5 papers at the last edition, 2 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, 5.56% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 36.76% were posted by at least one author from the top 10 institutions publishing at the conference. Another 16.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.53% of all publications and 23.53% 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.