Results 31 to 40 of about 392,381 (314)

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

IEEE 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, Zuzanna Miodonska, Joanna Trzaskalik, Pawel Badura   +3 more
doaj   +1 more source

Use of Machine Learning for Deception Detection From Spectral and Cepstral Features of Speech Signals

IEEE Access, 2021
In this research, four unique nonlinear speech features are extracted and analyzed to study the dissimilarity pattern between when the speaker is being deceitful and truthful based on how human speech is perceived.
Sinead V. Fernandes, Muhammad S. Ullah
doaj   +1 more source

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

2011 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, Junichi Yamagishi, William J. Byrne, Simon King 0001, Keiichi Tokuda   +4 more
openaire   +1 more source

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

European 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, Elisa Mallick, Johannes Tröger, Nicklas Linz, Radia Zeghari, Valeria Manera, Philippe Robert   +6 more
doaj   +1 more source

Characterizing intonation deficit in motor speech disorders : an autosegmental-metrical analysis of spontaneous speech in hypokinetic dysarthria, ataxic dysarthria and foreign accent syndrome

, 2012
The autosegmental-metrical (AM) framework represents an established methodology for intonational analysis in unimpaired speaker populations but has found little application in describing intonation in motor speech disorders (MSDs).
Lowit, Anja, Anja Kuschmann, Anja Lowit, Kuschmann, Anja   +3 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Synchronous Analysis of Speech Production and Lips Movement to Detect Parkinson’s Disease Using Deep Learning Methods

Diagnostics
Background/Objectives: Parkinson’s disease (PD) affects more than 6 million people worldwide. Its accurate diagnosis and monitoring are key factors to reduce its economic burden.
Cristian David Ríos-Urrego, Daniel Escobar-Grisales, Juan Rafael Orozco-Arroyave   +2 more
doaj   +1 more source

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

, 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, Shannon, Matt, Shiota, Sayaka, Wester, Mirjam; id_orcid, Oura, Keiichiro, Gibson, Matthew, Hirsimaki, Teemu, Yamagishi, Junichi, King, Simon; id_orcid, Karhila, Reima, Wu, Yi-Jian, Tian, Jilei, Dines, John, Byrne, William, Saheer, Lakshmi, Liang, Hui, Kurimo, Mikko, Garner, Philip N., Guan, Yong, King, Simon, Wester, Mirjam   +20 more
core  

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

, 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, Paavo Alku, Alku, Paavo, Nonavinakere Prabhakera, Narendra   +3 more
core   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source