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Sensu is a Latin word meaning "in the sense of". It is used in a number of fields including biology, geology, linguistics, semiotics, and law.Commonly it refers to how strictly or loosely an expression is used in describing any particular concept, but it also appears in expressions that indicate the convention or context of the usage.
A mondegreen is a misinterpretation of a word or phrase, often within the lyrics of a specific song or other type of performance, and need not make sense within that context. [22] An eggcorn must still retain something of the original meaning, [ 22 ] as the speaker understands it, and may be a replacement for a poorly understood phrase rather ...
Semantic satiation is a psychological phenomenon in which repetition causes a word or phrase to temporarily lose meaning for the listener, [1] who then perceives the speech as repeated meaningless sounds. Extended inspection or analysis (staring at the word or phrase for a long time) in place of repetition also produces the same effect.
In linguistics, a word sense is one of the meanings of a word. For example, a dictionary may have over 50 different senses of the word "play", each of these having a different meaning based on the context of the word's usage in a sentence, as follows: We went to see the play Romeo and Juliet at the theater.
Apophenia (/ æ p oʊ ˈ f iː n i ə /) is the tendency to perceive meaningful connections between unrelated things. [1]The term (German: Apophänie from the Greek verb ἀποφαίνειν (apophaínein)) was coined by psychiatrist Klaus Conrad in his 1958 publication on the beginning stages of schizophrenia.
A "learn to pronounce" option was added to the English dictionary in December 2018 which shows how a word is pronounced with its non-phonemic pronunciation respelling and audio in different accents (such as British and American) along with an option to slow the audio down, visemes for pronunciations were also added in April 2019. [23]
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Perceptual audio coding uses psychoacoustics-based algorithms. The psychoacoustic model provides for high quality lossy signal compression by describing which parts of a given digital audio signal can be removed (or aggressively compressed) safely—that is, without significant losses in the (consciously) perceived quality of the sound.