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In Greek and Roman mythology, Odysseus (/ ə ˈ d ɪ s i ə s / ə-DISS-ee-əs; [1] Ancient Greek: Ὀδυσσεύς, Ὀδυσεύς, romanized: Odysseús, Odyseús, IPA: [o.dy(s).sěu̯s]), also known by the Latin variant Ulysses (/ juː ˈ l ɪ s iː z / yoo-LISS-eez, UK also / ˈ juː l ɪ s iː z / YOO-liss-eez; Latin: Ulysses, Ulixes), is a legendary Greek king of Ithaca and the hero of ...
The Homeric hero Odysseus used the pseudonym "Outis" when he was fighting the Cyclops Polyphemus and the monster demanded his name. Odysseus replied instead that the pronoun was his name in order to trick the monster. After Odysseus had put out the monster's eye, Polyphemus shouted in pain to the other Cyclopes of the island.
Eurybates, a herald who was sent, along with Talthybius, by Agamemnon to retrieve Briseis from Achilles' camp in Iliad, I, but he might be a different person from Odysseus's herald mentioned in Iliad, 2 ("Eurybates of Ithaca"), and in the Odyssey. [2] Eurybates on a Roman mosaic with the Removal of Briseis, 2nd century
This is an accepted version of this page This is the latest accepted revision, reviewed on 21 December 2024. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...
A mosaic depicting Odysseus, from the villa of La Olmeda, Pedrosa de la Vega, Spain, late 4th–5th centuries AD. The Odyssey begins after the end of the ten-year Trojan War (the subject of the Iliad), from which Odysseus (also known by the Latin variant Ulysses), king of Ithaca, has still not returned because he angered Poseidon, the god of the sea.
Roman copy (1st century) of a Greek original by Kresilas, c. 430 BC. Athena is the Greek goddess of wisdom and battle strategy, and was also the patron goddess of heroes. Odysseus was a great hero among the Greeks, and so had Athena’s favor and aid in many of
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Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.