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Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2] It is capable of transcribing speech in English and several other languages, [3] and is also capable of translating several non-English languages into English. OpenAI claims that the ...
Rhetoric is the art of effective persuasive speaking, often through the use of figures of speech, metaphors, and other techniques. The Greek philosopher Aristotle listed four reasons why one should learn the art of persuasion: [12] Truth and justice are perfect; thus if a case loses, it is the fault of the speaker. It is an excellent tool for ...
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The Christian Speech & Debate League, also known as the National Christian Forensics and Communications Association, is a speech and debate league for Christian students in the United States. The NCFCA was established in 2001 after outgrowing its parent organization, the Home School Legal Defense Association (HSLDA), which had been running the ...
Monroe's motivated sequence is a technique for organizing persuasion that inspires people to take action. Alan H. Monroe developed this sequence in the mid-1930s. [1] This sequence is unique because it strategically places these strategies to arouse the audience's attention and motivate them toward a specific goal or action.
Sinewave synthesis, or sine wave speech, is a technique for synthesizing speech by replacing the formants (main bands of energy) with pure tone whistles. The first sinewave synthesis program ( SWS ) for the automatic creation of stimuli for perceptual experiments was developed by Philip Rubin at Haskins Laboratories in the 1970s.
A paraphrase or rephrase (/ ˈ p ær ə ˌ f r eɪ z /) is the rendering of the same text in different words without losing the meaning of the text itself. [1] More often than not, a paraphrased text can convey its meaning better than the original words.
In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".
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