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The Harvard sentences, or Harvard lines, [1] is a collection of 720 sample phrases, divided into lists of 10, used for standardized testing of Voice over IP, cellular, and other telephone systems. They are phonetically balanced sentences that use specific phonemes at the same frequency they appear in English.
Strictly speaking, a reversal of phonemes will still result in allophones appropriate for the new position; for example, if a word with a final /t/ is reversed so that the /t/ is initial, the initial /t/ will be aspirated in line with the conventional allophonic patterns of English phonology.
In historical linguistics, a sound change is a change in the pronunciation of a language. A sound change can involve the replacement of one speech sound (or, more generally, one phonetic feature value) by a different one (called phonetic change) or a more general change to the speech sounds that exist (phonological change), such as the merger of two sounds or the creation of a new sound.
For most spoken languages, the boundaries between lexical units are difficult to identify; phonotactics are one answer to this issue. One might expect that the inter-word spaces used by many written languages like English or Spanish would correspond to pauses in their spoken version, but that is true only in very slow speech, when the speaker deliberately inserts those pauses.
Vocal imitation happens quickly: words can be repeated within 250-300 milliseconds [1] both in normals (during speech shadowing) [2] and during echolalia.The imitation of speech syllables possibly happens even more quickly: people begin imitating the second phone in the syllable [ao] earlier than they can identify it (out of the set [ao], [aæ] and [ai]). [3]
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If played backwards, the words "small step for man" sound somewhat like "Man will spacewalk." [6] An alternative explanation for this phenomenon is pareidolia, the tendency of the human brain to perceive meaningful patterns in random noise. Pareidolia is even more likely to occur when a person consciously tries to detect a pattern, as is the ...
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