Results 41 to 50 of about 27,180,319 (308)

Classification of Cardiovascular disease using dysphonia measurement in speech

open access: yesDiagnostyka, 2021
Cardiovascular disease is the leading cause of death worldwide. The diagnosis is made by non-invasive methods, but far from being comfortable, rapid, and accessible to everyone.
Abdelhamid Bourouhou   +3 more
doaj   +1 more source

Lombard speech synthesis using transfer learning in a Tacotron text-to-speech system

open access: yes, 2019
Currently, there is increasing interest to use sequence-to-sequence models in text-to-speech (TTS) synthesis with attention like that in Tacotron models.
Bajibabu Bollepalli   +5 more
core   +1 more source

Machine Learning Applications for Diagnosing Parkinson’s Disease via Speech, Language, and Voice Changes: A Systematic Review

open access: yesInventions
Parkinson’s disease (PD) is a progressive neurodegenerative disorder leading to movement impairment, cognitive decline, and psychiatric symptoms. Key manifestations of PD include bradykinesia (the slowness of movement), changes in voice or speech, and ...
Mohammad Amran Hossain   +2 more
doaj   +1 more source

Multichannel Speech Acquisition and Analysis for Computer-Aided Sigmatism Diagnosis in Children

open access: yesIEEE Access, 2020
A novel concept for acoustic data acquisition for computer-aided diagnosis of a common speech disorder (sigmatism) is presented in this paper. We designed and built a data acquisition device enabling repeatable speech signal acquisition in up to fifteen ...
Michal Krecichwost   +3 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis

open access: yesEuropean Psychiatry, 2021
Background Certain neuropsychiatric symptoms (NPS), namely apathy, depression, and anxiety demonstrated great value in predicting dementia progression, representing eventually an opportunity window for timely diagnosis and treatment.
Alexandra König   +6 more
doaj   +1 more source

An analysis of machine translation and speech synthesis in speech-to-speech translation system [PDF]

open access: yes2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
This paper provides an analysis of the impacts of machine translation and speech synthesis on speech-to-speech translation systems. The speech-to-speech translation system consists of three components: speech recognition, machine translation and speech synthesis.
Kei Hashimoto   +4 more
openaire   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project [PDF]

open access: yes, 2010
This paper provides an overview of speaker adaptation research carried out in the EMIME speech-to-speech translation (S2ST) project. We focus on how speaker adaptation transforms can be learned from speech in one language and applied to the acoustic ...
Tokuda, Keiichi   +20 more
core   +1 more source

Dysarthric speech classification using glottal features computed from non-words, words and sentences

open access: yes, 2018
Dysarthria is a neuro-motor disorder resulting from the disruption of normal activity in speech production leading to slow, slurred and imprecise (low intelligible) speech.
Narendra N P   +3 more
core   +1 more source

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