Voice analysis rehabilitation platform based on LSTM algorithm

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Alessandro Massaro ◽  
Nicola Savino ◽  
Angelo Maurizio Galiano ◽  
Giacomo Meuli
Keyword(s):  
Voice Analysis

scholarly journals Exploring the use of Artificial Intelligence techniques to detect the presence of Coronavirus Covid-19 through speech and voice analysis

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Laura Verde ◽  
Giuseppe De Pietro ◽  
Ahmed Ghoneim ◽  
Mubarak Alrashoud ◽  
Khaled N. Al-Mutib ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Voice Analysis ◽  
Artificial Intelligence Techniques

Nebulized Saline Solution: A Multidimensional Voice Analysis

2021 ◽  
Author(s):  
Bárbara Oliveira Souza ◽  
Marco Aurélio Rocha Santos ◽  
Elisa Meiti Ribeiro Lin Plec ◽  
Maria Luiza Diniz ◽  
Ana Cristina Côrtes Gama
Keyword(s):  
Saline Solution ◽  
Voice Analysis

Assessment of Subjective and Objective Voice Analysis According to Types of Sulcus Vocalis

2021 ◽  
Author(s):  
Muhammed Gazi YILDIZ ◽  
Saime SAGIROGLU ◽  
Nagihan BILAL ◽  
Irfan KARA ◽  
Israfil ORHAN ◽  
...  
Keyword(s):  
Voice Analysis ◽  
Sulcus Vocalis

Reproducibility of Voice Analysis with Machine Learning

2021 ◽  
Vol 36 (5) ◽  
pp. 1282-1283
Author(s):  
Jan Rusz ◽  
Jan Švihlík ◽  
Petr Krýže ◽  
Michal Novotný ◽  
Tereza Tykalová
Keyword(s):  
Machine Learning ◽  
Voice Analysis

Voice analysis composing method

1988 ◽  
Vol 83 (5) ◽  
pp. 1992-1992
Author(s):  
Hiroshi Saito
Keyword(s):  
Voice Analysis

A Pilot Study Assessing Type a Behavior in Violence-Prone Inmates

1986 ◽  
Vol 59 (2) ◽  
pp. 371-382 ◽  
Author(s):  
Bernadette H. Schell ◽  
Jean-Charles Cachon ◽  
Ozhand Ganjavi ◽  
Frank Porporino
Keyword(s):  
Multivariate Analysis ◽  
Type A ◽  
Type A Behavior ◽  
Primary Objective ◽  
Prison Inmates ◽  
Activity Profile ◽  
Voice Analysis ◽  
Assessment Techniques ◽  
Secondary Objective ◽  
Violent Offenses

This study compared the Type A tendencies reported on the Behavior Activity Profile questionnaire and those yielded by a taped-voice analysis of 34 male prison inmates convicted for a variety of violent offenses. The primary objective was to provide prison officials with an instrument for detecting repeated assaulters from nonassaulters. The secondary objective was to determine which of the two Type A assessment techniques was more predictive of prisoners' status as assaulters. The multivariate analysis indicated that the profile, prisoners' length of sentence, and number of convictions accounted for 88% of the variance in grouping, assaulter or nonassaulter. Implications for prison administrators and researchers were discussed.

Enlarging the spectrum of cluster headache: Can voice analysis reveal an extracranial autonomic involvement?

2021 ◽  
Vol 429 ◽  
pp. 119254
Author(s):  
Fabrizio Scotto Di Clemente ◽  
Alessandro Tessitore ◽  
Marcello Silvestro ◽  
Francesca Dovetto ◽  
Virginia Corvino ◽  
...  
Keyword(s):  
Cluster Headache ◽  
Voice Analysis
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