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Voice Signal Typing Using a Pattern Recognition Approach
(Mosby-Elsevier, 2020-05)
Voice signal classification in three types according to their degree of periodicity, a task known as signal typing, is a relevant preprocessing step before computing any perturbation measures. However, it is a time consuming ...
Invariant Measures Based on the U-Correlation Integral: An Application to the Study of Human Voice
(John Wiley & Sons Inc, 2018-04)
Nonlinear measures such as the correlation dimension, the correlation entropy, and the noise level were used in this article to characterize normal and pathological voices. These invariants were estimated through an automated ...
Improved subglottal pressure estimation from neck-surface vibration in healthy speakers producing non-modal phonation
(IEE-Institute of Electrical and Electronics Engineers, 2020)
Subglottal air pressure plays a major role in voice production and is a primary factor in controlling voice onset, offset, sound pressure level, glottal airflow, vocal fold collision pressures, and variations in fundamental ...
Modeling and joint estimation of glottal source and vocal tract filter by state-space methods
(Elsevier, 2017-08)
Accurate estimation of the glottal source from a voiced sound is a difficult blind separation problem in speech signal processing. In this work, state-space methods are investigated to enhance the joint estimation of the ...
Estimation of subglottal pressure, vocal fold collision pressure, and intrinsic laryngeal muscle activation from neck-surface vibration using a neural network framework and a voice production model
(Frontiers Media, 2021)
The ambulatory assessment of vocal function can be significantly enhanced by having access to physiologically based features that describe underlying pathophysiological mechanisms in individuals with voice disorders. This ...
MODELO DE PROCESAMIENTO DE VOZ PARA LA CLASIFICACIÓN DE ESTADOS
(2011-06-14)
In this work, in general terms, we report the progress made in the recognition
and classi cation of emotions from voice signals, the objectives proposed for the
conclusion and a description of relevant work found so ...
Classificação da qualidade do sinal de voz em comunicação VoIP utilizando Deep LearningVoice signal quality rating in VoIP communication using Deep Learning
(Universidade Federal de LavrasPrograma de Pós-graduação em Engenharia de Sistemas e AutomaçãoUFLAbrasilDepartamento de Engenharia, 2019)
Análise de medidas objetivas e da percepção auditiva da soprosidade vocal
(Universidade Federal de Minas GeraisUFMG, 2018-09-21)
Voice quality is a vast eld, which covers the areas of speech science and technology, telecommunications, phonetics and speech therapy. It aims to complement vocal fold visualization exams (such as video-laryngoscopy) in ...
Evaluation of Mixed Deep Neural Networks for Reverberant Speech Enhancement
(2020)
Speech signals are degraded in real-life environments, as a product of background noise or other factors. The processing of such signals for voice recognition and voice analysis systems presents important challenges. One ...