International audienceSpeech analysis can be used for healthcare tasks such as pathology detection. Conventionally, a speech-language pathologist is specialized to detect anomalies from speech. Speech disorders result from a variety of causes such as brain injury, stroke, hearing loss, developmental delay or emotion alteration. Content of the speech is often not of interest for pathology detection, but characteristics are. In the literature of automatic pathology detection by speech analysis, physiological pathologies such as nodule and cancer are taken into account along with neurodegenerative brain disorders such as Parkinson's disease, Alzheimer's disease and mild cognitive impairment. As the problem of pathology detection from speech ha...
This pilot study evaluates the ability of machined learned algorithms to assist with the differentia...
Selected results of examinations, having been performed by the author for several years, concerning ...
Vocal fold disorder detection and classification methods are generally developed by using speech si...
In recent years, speech pathology analysis has played a big role in the announcements of doctors. so...
This thesis addresses the automatic analysis of speech disorders resulting from a clinical condition...
There is a substantial unmet need to diagnose speech-related disorders effectively. Machine learning...
Background and objective: Speech impairment is an early symptom of Parkinson’s disease (PD). This st...
Background: Alzheimer’s disease (AD) has paramount importance due to its rising prevalence, the impa...
This thesis deals with speech analysis of people who suffer from Parkinson’s disease. Purpose of thi...
Parkinson’s disease (PD) is the second most common neurodegenerative disorder of mid-to-late life af...
Over the last few years, a growing body of linguistic studies have been devoted to the clinical doma...
This paper presents the voice activity detection VAD using basic parameters. The voice is found to h...
Parkinson’s disease (PD) is one of the neurodegenerative diseases. The neuronal loss caused by this ...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Almost 50 million people are living with dementia in 2018 worldwide, and the number will double ever...
This pilot study evaluates the ability of machined learned algorithms to assist with the differentia...
Selected results of examinations, having been performed by the author for several years, concerning ...
Vocal fold disorder detection and classification methods are generally developed by using speech si...
In recent years, speech pathology analysis has played a big role in the announcements of doctors. so...
This thesis addresses the automatic analysis of speech disorders resulting from a clinical condition...
There is a substantial unmet need to diagnose speech-related disorders effectively. Machine learning...
Background and objective: Speech impairment is an early symptom of Parkinson’s disease (PD). This st...
Background: Alzheimer’s disease (AD) has paramount importance due to its rising prevalence, the impa...
This thesis deals with speech analysis of people who suffer from Parkinson’s disease. Purpose of thi...
Parkinson’s disease (PD) is the second most common neurodegenerative disorder of mid-to-late life af...
Over the last few years, a growing body of linguistic studies have been devoted to the clinical doma...
This paper presents the voice activity detection VAD using basic parameters. The voice is found to h...
Parkinson’s disease (PD) is one of the neurodegenerative diseases. The neuronal loss caused by this ...
Due to copyright restrictions, the access to the full text of this article is only available via sub...
Almost 50 million people are living with dementia in 2018 worldwide, and the number will double ever...
This pilot study evaluates the ability of machined learned algorithms to assist with the differentia...
Selected results of examinations, having been performed by the author for several years, concerning ...
Vocal fold disorder detection and classification methods are generally developed by using speech si...