The myth of Orpheus in the second postwar decade in Italy and Poland – The myth of Orpheus, in the second postwar decade, becomes a paradigmatic tale describing the horror of mourning and separation. Cesare Pavese and Anna Świrszczyńska, in their rewritings, elaborate that mith in a completely original way, tracing a new path of Orpheus’ journey to the underworld.
The article portrays the motif of dream and its symbolic meanings in Vladimir Nabokov’s short story Terror, what has not been the subject of detailed research so far. It has been determined that the experience of dream in the analysed story denotes the protagonist’s attempt to escape from the surrounding world and a shift into the sphere of the unconscious (mysterious anaesthesia). Thus the topos of dream/dream fantasy in Terror implies the existence of a hero in a particular kind of chronotope, and is connected with the semantics of the passage – from demonic chaos and metaphysical terror to restoration of cosmic (microcosmic) order and to “becoming oneself” (Ricoeur). Moreover, dream in Nabokov’s text is intrinsically linked with the problem of compatibility/ incompatibility of the two worlds: the real and the oneiric one, existing in reality and reflected in a mirror, and also with the motif of a doppelganger which bears references to Dostoyevsky’s writings. Also, an oneiric image of a laughing woman is analysed in detail in the article. It has been proven that laugter (giggle) of the story’s heroine unveils ambivalent and demonic dimension of femininity and is a reference to Pushkin’s The Queen of Spades.
Laughter is one of the most important paralinguistic events, and it has specific roles in human conversation. The automatic detection of laughter occurrences in human speech can aid automatic speech recognition systems as well as some paralinguistic tasks such as emotion detection. In this study we apply Deep Neural Networks (DNN) for laughter detection, as this technology is nowadays considered state-of-the-art in similar tasks like phoneme identification. We carry out our experiments using two corpora containing spontaneous speech in two languages (Hungarian and English). Also, as we find it reasonable that not all frequency regions are required for efficient laughter detection, we will perform feature selection to find the sufficient feature subset.