Results 21 to 30 of about 251,655 (262)

Poder e Discurso

Political Observer, 2019
This article analyzes speeches of tenure of the Ministers of Foreign Affairs of Brazil made between 2003 and 2016, in the inaugural speech of former Minister José Serra.
Pedro Fonseca
doaj   +1 more source

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

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

Inventions
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, Enea Traini, Francesco Amenta   +2 more
doaj   +1 more source

Towards Interactive Agents that Infer Emotions from Voice and Context Information

EAI Endorsed Transactions on Creative Technologies, 2017
Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to understand the user`s emotions, to be able to provide natural interaction with humans.
D. Formolo, T. Bosse
doaj   +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

Speech analysis and speech recognition using subband-autocorrelation analysis.

Journal of the Acoustical Society of Japan (E), 1994
This paper describes the Subband-Autocorrelation (SBCOR) analysis technique and investigates how to apply it to speech recognition. The SBCOR analysis is a new signal analysis technique based on filter bank and autocorrelation analysis. The SBCOR analysis system is evaluated for five types of filter bank and three autocorrelation detectors using a ...
Shoji Kajita, Fumitada Itakura
openaire   +2 more sources

Acoustic Analysis of PD Speech [PDF]

Parkinson's Disease, 2011
According to the U.S. National Institutes of Health, approximately 500,000 Americans have Parkinson's disease (PD), with roughly another 50,000 receiving new diagnoses each year. 70%–90% of these people also have the hypokinetic dysarthria associated with PD.
Karen Chenausky, Joel MacAuslan, Richard Goldhor   +2 more
openaire   +3 more sources

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 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