Editorial: Intelligent Signal Analysis for Contagious Virus Diseases

Bjorn W. Schuller; Yonina Eldar; Maja Pantic; Shrikanth Narayanan; Tuomas Virtanen; Jianhua Tao

doi:10.1109/JSTSP.2022.3160023

Editorial: Intelligent Signal Analysis for Contagious Virus Diseases

Bjorn W. Schuller, Yonina Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen, Jianhua Tao

Computing Sciences

Research output: Contribution to journal › Editorial › Scientific

2 Citations (Scopus)

8 Downloads (Pure)

Abstract

COVID-19 infection-s recent outbreak triggered by the SARS-CoV-2 Corona virus had already led to more than two million reported infected individuals when we first addressed the community by our call - by now, the number sadly rose to roughly half a billion cases worldwide. The outbreak of COIVD-19 has also re-shaped and accelerated the scientific publication landscape in no time. One can observe a massive uprise in interest in work related to the topic of highly contagious virus diseases and potential contributions of digital health including intelligent signal processing. In addition, most publishers have reacted in one or the other way to the crises such as by opening up to pre-prints, waiving publication fees for COVID-19-related research, providing search functions and tools for COVID-19 research, and many more. Here, we gathered 13 carefully selected novel contributions across signal types such as audio, speech, image, video, or symbolic information, as well as their multimodal combination for application in the risk assessment, diagnosis, and monitoring of contagious virus diseases.

Original language	English
Pages (from-to)	159-163
Number of pages	5
Journal	IEEE Journal on Selected Topics in Signal Processing
Volume	16
Issue number	2
DOIs	https://doi.org/10.1109/JSTSP.2022.3160023
Publication status	Published - Feb 2022
Publication type	B1 Journal article

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

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IEEE_JSTSP_SI_COVID_Editorial-2
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https://urn.fi/URN:NBN:fi:tuni-202210287987

Cite this

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title = "Editorial: Intelligent Signal Analysis for Contagious Virus Diseases",

abstract = "COVID-19 infection-s recent outbreak triggered by the SARS-CoV-2 Corona virus had already led to more than two million reported infected individuals when we first addressed the community by our call - by now, the number sadly rose to roughly half a billion cases worldwide. The outbreak of COIVD-19 has also re-shaped and accelerated the scientific publication landscape in no time. One can observe a massive uprise in interest in work related to the topic of highly contagious virus diseases and potential contributions of digital health including intelligent signal processing. In addition, most publishers have reacted in one or the other way to the crises such as by opening up to pre-prints, waiving publication fees for COVID-19-related research, providing search functions and tools for COVID-19 research, and many more. Here, we gathered 13 carefully selected novel contributions across signal types such as audio, speech, image, video, or symbolic information, as well as their multimodal combination for application in the risk assessment, diagnosis, and monitoring of contagious virus diseases. ",

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AU - Schuller, Bjorn W.

AU - Eldar, Yonina

AU - Pantic, Maja

AU - Narayanan, Shrikanth

AU - Virtanen, Tuomas

AU - Tao, Jianhua

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N2 - COVID-19 infection-s recent outbreak triggered by the SARS-CoV-2 Corona virus had already led to more than two million reported infected individuals when we first addressed the community by our call - by now, the number sadly rose to roughly half a billion cases worldwide. The outbreak of COIVD-19 has also re-shaped and accelerated the scientific publication landscape in no time. One can observe a massive uprise in interest in work related to the topic of highly contagious virus diseases and potential contributions of digital health including intelligent signal processing. In addition, most publishers have reacted in one or the other way to the crises such as by opening up to pre-prints, waiving publication fees for COVID-19-related research, providing search functions and tools for COVID-19 research, and many more. Here, we gathered 13 carefully selected novel contributions across signal types such as audio, speech, image, video, or symbolic information, as well as their multimodal combination for application in the risk assessment, diagnosis, and monitoring of contagious virus diseases.

AB - COVID-19 infection-s recent outbreak triggered by the SARS-CoV-2 Corona virus had already led to more than two million reported infected individuals when we first addressed the community by our call - by now, the number sadly rose to roughly half a billion cases worldwide. The outbreak of COIVD-19 has also re-shaped and accelerated the scientific publication landscape in no time. One can observe a massive uprise in interest in work related to the topic of highly contagious virus diseases and potential contributions of digital health including intelligent signal processing. In addition, most publishers have reacted in one or the other way to the crises such as by opening up to pre-prints, waiving publication fees for COVID-19-related research, providing search functions and tools for COVID-19 research, and many more. Here, we gathered 13 carefully selected novel contributions across signal types such as audio, speech, image, video, or symbolic information, as well as their multimodal combination for application in the risk assessment, diagnosis, and monitoring of contagious virus diseases.

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Editorial: Intelligent Signal Analysis for Contagious Virus Diseases

Abstract

ASJC Scopus subject areas

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