A survey on signal processing based pathological voice detection techniques
Voice disability is a barrier to effective communication. Around 1.2% of the World's
population is facing some form of voice disability. Surgical procedures namely laryngoscopy …
population is facing some form of voice disability. Surgical procedures namely laryngoscopy …
Critical analysis of the impact of glottal features in the classification of clinical depression in speech
E Moore II, MA Clements, JW Peifer… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
The motivation for this work is in an attempt to rectify the current lack of objective tools for
clinical analysis of emotional disorders. This study involves the examination of a large …
clinical analysis of emotional disorders. This study involves the examination of a large …
Spoken emotion recognition through optimum-path forest classification using glottal features
A new method for the recognition of spoken emotions is presented based on features of the
glottal airflow signal. Its effectiveness is tested on the new optimum path classifier (OPF) as …
glottal airflow signal. Its effectiveness is tested on the new optimum path classifier (OPF) as …
“you're as sick as you sound”: using computational approaches for modeling speaker state to gauge illness and recovery
Recently, researchers in computer science and engineering have begun to explore the
possibility of finding speech-based correlates of various medical conditions using automatic …
possibility of finding speech-based correlates of various medical conditions using automatic …
Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech
The aim of the present study is to select a set of higher order spectral features for
emotion/stress recognition system. 50 Bispectral (28 features) and Bicoherence (22 …
emotion/stress recognition system. 50 Bispectral (28 features) and Bicoherence (22 …
EEG feature selection via global redundancy minimization for emotion recognition
A common drawback of EEG-based emotion recognition is that volume conduction effects of
the human head introduce interchannel dependence and result in highly correlated …
the human head introduce interchannel dependence and result in highly correlated …
Improved emotion recognition using gaussian mixture model and extreme learning machine in speech and glottal signals
Recently, researchers have paid escalating attention to studying the emotional state of an
individual from his/her speech signals as the speech signal is the fastest and the most …
individual from his/her speech signals as the speech signal is the fastest and the most …
Converting the industry foundation classes to the web ontology language
H Schevers, R Drogemuller - 2005 First International …, 2005 - ieeexplore.ieee.org
The upcoming next generation of the Internet, often referred to as the semantic Web, will
bring a lot of new technologies, one of which is the Web ontology language (OWL). One …
bring a lot of new technologies, one of which is the Web ontology language (OWL). One …
On the significance of speech pauses in depressive disorders: results on read and spontaneous narratives
A Esposito, AM Esposito, L Likforman-Sulem… - Recent advances in …, 2016 - Springer
This paper investigates whether and how depressive disorders affect speech and in
particular timing strategies for speech pauses (empty and filled pauses, as well as, phoneme …
particular timing strategies for speech pauses (empty and filled pauses, as well as, phoneme …
Characterization and recognition of emotions from speech using excitation source information
SR Krothapalli, SG Koolagudi - International journal of speech technology, 2013 - Springer
This paper explores the excitation source features of speech production mechanism for
characterizing and recognizing the emotions from speech signal. The excitation source …
characterizing and recognizing the emotions from speech signal. The excitation source …