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Test of Word Reading Efficiency Second Edition or commonly known as TOWRE - 2 is a kind of reading test developed to test the efficiency of reading ability of children from age 6–24 years. It generally seeks to measure an individual's accuracy and fluency regarding two efficiencies; Sight Word Efficiency (SWE) and Phonemic Decoding Efficiency ...
IEEE Recommended Practice for Speech Quality Measurements [3] sets out seventy-two lists of ten phrases each, described as the "1965 Revised List of Phonetically Balanced Sentences (Harvard Sentences)." They are widely used in research on telecommunications, speech, and acoustics, where standardized and repeatable sequences of speech are needed.
The participant is usually asked to name words beginning with a letter, excluding proper nouns, for one minute and this procedure is repeated three times. The most commons letters used are FAS because of their frequency in the English language. [3] The examiner must quickly write down the words provided by the participant on a piece of paper.
The Test of Adolescent and Adult Language: Third Edition (TOAL-3) is a standardized, norm-referenced assessment of receptive, written and expressive language. The TOAL-3 was published in 1994. The test is used to help identify individuals who may have a language disorder, and to help determine in what area(s) the dysfunction lies.
A speech corpus (or spoken corpus) is a database of speech audio files and text transcriptions. In speech technology , speech corpora are used, among other things, to create acoustic models (which can then be used with a speech recognition or speaker identification engine). [ 1 ]
These lists of words are still assigned for memorization in elementary schools in America and elsewhere. Although most of the 220 Dolch words are phonetic, children are sometimes told that they can't be "sounded out" using common sound-to-letter phonics patterns and have to be learned by sight; hence the alternative term, "sight word".
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A speech recognition grammar is a set of word patterns, and tells a speech recognition system what to expect a human to say. For instance, if you call an auto-attendant application, it will prompt you for the name of a person (with the expectation that your call will be transferred to that person's phone).