Optimization of automatic speech emotion recognition systems

Osnov za uspešnu integraciju emocionalne inteligencije u sofisticirane sisteme veštačke inteligencije jeste pouzdano prepoznavanje emocionalnih stanja, pri čemu se paralingvistički sadržaj govora izdvaja kao posebno značajan nosilac informacija o emocionalnom stanju govornika. U ovom radu je sprovedena komparativna analiza obeležja govornog signala i klasifikatorskih metoda najčešće korišćenih u rešavanju zadatka automatskog prepoznavanja emocionalnih stanja govornika, a zatim su razmotrene mogućnosti popravke performansi sistema za automatsko prepoznavanje govornih emocija. Izvršeno je unapređenje diskretnih skrivenih Markovljevih modela upotrebom QQ krive za potrebe određivanja etalona vektorske kvantizacije, a razmotrena su i dodatna unapređenja modela. Ispitane su mogućnosti vernije reprezentacije govornog signala, pri čemu je analiza proširena na veliki broj obeležja iz različitih grupa. Formiranje velikih skupova obeležja nameće potrebu za redukcijom dimenzija, gde je pored poznatih metoda analizirana i alternativna metoda zasnovana na Fibonačijevom nizu brojeva. Na kraju su razmotrene mogućnosti integracije prednosti različitih pristupa u jedinstven sistem za automatsko prepoznavanje govornih emocija, tako da je predložena paralelna multiklasifikatorska struktura sa kombinatornim pravilom koje pored rezultata klasifikacije pojedinačnih klasifikatora ansambla koristi i informacije o karakteristikama klasifikatora. Takođe, dat je predlog automatskog formiranja ansambla klasifikatora proizvoljne veličine upotrebom redukcije dimenzija zasnovane na Fibonačijevom nizu brojevaThe basis for the successful integration of emotional intelligence into sophisticated systems of artificial intelligence is the reliable recognition of emotional states, with the paralinguistic content of speech standing out as a particularly significant carrier of information regarding the emotional state of the speaker. In this paper, a comparative analysis of speech signal features and classification methods most often used for solving the task of automatic recognition of speakers' emotional states is performed, after which the possibilities for improving the performances of the systems for automatic recognition of speech emotions are considered. Discrete hidden Markov models were improved using the QQ plot for the purpose of determining the codevectors for vector quantization, and additional models improvements were also considered. The possibilities for a more faithful representation of the speech signal were examined, whereby the analysis was extended to a large number of features from different groups. The formation of big sets of features imposes the need for dimensionality reduction, where an alternative method based on the Fibonacci sequence of numbers was analyzed, alongside known methods. Finally, the possibilities for integrating the advantages of different approaches into a single system for automatic recognition of speech emotions are considered, so that a parallel multiclassifier structure is proposed with a combinatorial rule, which, in addition to the classification results of individual ensemble classifiers, uses information about classifiers' characteristics. A proposal is also given for the automatic formation of an ensemble of classifiers of arbitrary size by using dimensionality reduction based on the Fibonacci sequence of numbers

INTRACRANIAL EMBOLIZATION: A RARE COMPLICATION

We report a case of a rare complication: aortic pseudoaneurysm rupture after embolization of an intracranial aneurysm in a 62 –year- old patient with spontaneous subarachnoid hemorrhage, presented with chest pain and shortness of breath the fourth day after the procedure. The intracranial aneurysm was embolized with no intraoperative complications, and a postprocedural CT (computed tomography) scan showed no signs of intracranial rebleeding, ischemic lesions, or hydrocephalus. Cardiosurgical treatment was not indicated for the aortic pseudoaneurysm rupture

Puncture site bleeding complications in patients with Clopidogrel hyper-response: Three case reports

Dual antiplatelet therapy (clopidogrel and acetylsalicylic acid) is a standard for the embolization of planned intracranial aneurysms with CNS stent due to the possibility of stent thrombus formation. All anti-aggregation drugs, including those listed, have bleeding as a side effect. Three patients with aneurysm had an elevated response to antiplatelet therapy with clopidogrel, which was confirmed by a multiplate test on the "VerifyNow" system. After reducing the dose of clopidogrel or after interrupting it, with the introduction of low molecular weight heparin for the duration of five days, aneurysms were successfully resolved by intracranial implantation of the stent. Perioperative angiograms and postoperative CT angiograms have verified hematomas at the place of punction of the femoral artery. Bleeding was resolved by the femoral artery suture by a vascular surgeon. All patients were discharged home without further complications and with dual antiplatelet therapy. By measuring the platelet function in vitro, the degree of inhibition of platelet activity achieved by the action of the drug can be assessed. A specific test can identify those patients who are highly responsive to the drug with increased platelet reactivity and the possibility of increased risk of bleeding. Our suggestion is to reduce the dosage of clopidogrel or to leave it out for 24 hours with preventive doses of low molecular weight heparin or to change the strategy of treatment of intracranial aneurysm, i.e. avoiding implantation of CNS stent

Endodermal cyst of the cranio-cervical junction: A case report

We report an extremely rare case of an endodermal cyst of the cranio-cervical junction located dorsally to the brainstem and upper cervical spine in a 27-year-old female presented with occipital headache, vertigo and pain in both shoulders. Neurological examination showed neck stiffness with bilateral XIth nerve palsy. Magnetic resonance imaging revealed a cystic lesion at the cranio-cervical junction and slight compression of the brain stem. The lesion was totally removed through the posterior approach. The histological diagnosis was endodermal cyst. To our knowledge, the only one such case has been reported in the literature