Voice comparison between smokers and non-smokers using HMM speech recognition system

Satori, Hassan; Zealouk, Ouissam; Satori, Khalid; ElHaoussi, Fatima

doi:10.1007/s10772-017-9442-0

Cited by 26 publications

(7 citation statements)

References 5 publications

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“…A history of health issue can further indicate high risk. A number of health-related speaker state information relevant in this context has been shown feasible such as individuals suffering from asthma ( 16 ), head-and-neck cancer ( 17 ), or smoking habits ( 18 , 19 ).…”

Section: Computer Audition: Related Phenomenamentioning

confidence: 99%

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

Schuller

Qian

et al. 2021

Front. Digit. Health

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At the time of writing this article, the world population is suffering from more than 2 million registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona virus, which is now officially known as SARS-CoV-2. However, tremendous efforts have been made worldwide to counter-steer and control the epidemic by now labelled as pandemic. In this contribution, we provide an overview on the potential for computer audition (CA), i.e., the usage of speech and sound analysis by artificial intelligence to help in this scenario. We first survey which types of related or contextually significant phenomena can be automatically assessed from speech or sound. These include the automatic recognition and monitoring of COVID-19 directly or its symptoms such as breathing, dry, and wet coughing or sneezing sounds, speech under cold, eating behaviour, sleepiness, or pain to name but a few. Then, we consider potential use-cases for exploitation. These include risk assessment and diagnosis based on symptom histograms and their development over time, as well as monitoring of spread, social distancing and its effects, treatment and recovery, and patient well-being. We quickly guide further through challenges that need to be faced for real-life usage and limitations also in comparison with non-audio solutions. We come to the conclusion that CA appears ready for implementation of (pre-)diagnosis and monitoring tools, and more generally provides rich and significant, yet so far untapped potential in the fight against COVID-19 spread.

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Section: Computer Audition: Related Phenomenamentioning

confidence: 99%

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

Schuller

Qian

et al. 2021

Front. Digit. Health

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show abstract

“…Their system can realize a sensitivity of 95% with a specificity of approximately 72%. Pramono et al [ 8 ] have presented a pertussis automated diagnostic study based on cough and whoop sounds analysis. Their system permits to detect individual cough sounds with an accuracy of 92% and a PPV with 97%.…”

Section: Related Workmentioning

confidence: 99%

COVID-19 assessment using HMM cough recognition system

Hamidi

Zealouk

Satori

et al. 2022

Int. j. inf. tecnol.

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This paper is a part of our contributions to research on the ongoing COVID-19 pandemic around the world. This research aims to use Hidden Markov Model (HMM) based automatic speech recognition system to analyze the cough signal and determine whether the signal belongs to a sick or healthy speaker. We built a configurable model by using HMMs, Gaussian Mixture Models (GMMs), Mel frequency spectral coefficients (MFCCs) and a cough corpus collected from healthy and sick voluntary speakers. Our proposed method is able to classify dry cough with sensitivity from 85.86% to 91.57%, differentiate the dry cough, and cough COVID-19 symptom with specificity from 5 to 10%. The obtained results are very encouraging to enrich our corpus with more data and increase the performance of our diagnostic system.

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“…In particular, infant sounds could be the only acoustical factor for analyzing and understanding their status and behavior [32] , [36] . Besides, some comorbidities may lead to high risks of mortality by COVID-19 [24] , which can be evaluated by speech analysis if the individuals are suffering from head-and-neck cancer [37] , asthma [38] , or smoking habits [39] . Apart from the aforementioned individual aspects, social effects by COVID-19 can trigger another issue, e.g., the monitoring, management, and evaluation of the social distancing and quarantine.…”

Section: Background and Motivationmentioning

confidence: 99%

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask Speech Corpus for COVID-19

Qian

Schmitt

Zheng

et al. 2021

IEEE Internet Things J.

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Computer audition (CA) has experienced a fast development in the past decades by leveraging advanced signal processing and machine learning techniques. In particular, for its non-invasive and ubiquitous character by nature, CA based applications in healthcare have increasingly attracted attention in recent years. During the tough time of the global crisis caused by the COVID-19 (coronavirus disease 2019), scientists and engineers in data science have collaborated to think of novel ways in prevention, diagnosis, treatment, tracking, and management of this global pandemic. On one hand, we have witnessed the power of 5G, internet of things, big data, computer vision, and artificial intelligence in applications of epidemiology modelling, drug and/or vaccine finding and designing, fast CT screening, and quarantine management. On the other hand, relevant studies in exploring the capacity of CA are extremely lacking and underestimated. To this end, we propose a novel multi-task speech corpus for COVID-19 research usage. We collected 51 confirmed COVID-19 patients' in-the-wild speech data in Wuhan city, China. We define three main tasks in this corpus, i. e., three-category classification tasks for evaluating the physical and/or mental

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Voice comparison between smokers and non-smokers using HMM speech recognition system

Cited by 26 publications

References 5 publications

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

COVID-19 assessment using HMM cough recognition system

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask Speech Corpus for COVID-19

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