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Moreover, even at a given level there may be different labeling schemes or even disagreement amongst annotators, such that we want to represent multiple versions.
A second property of TIMIT is its balance across multiple dimensions of variation, for coverage of dialect regions and diphones.
We can also construct special tabulations (known as paradigms) to illustrate contrasts and systematic variation, as shown in 1.3 for three verbs. At the most abstract level, a text is a representation of a real or fictional speech event, and the time-course of that event carries over into the text itself.
In general, a text or speech corpus may be annotated at many different linguistic levels, including morphological, syntactic, and discourse levels.TIMIT was developed by a consortium including Texas Instruments and MIT, from which it derives its name.It was designed to provide data for the acquisition of acoustic-phonetic knowledge and to support the development and evaluation of automatic speech recognition systems.Like the Brown Corpus, which displays a balanced selection of text genres and sources, TIMIT includes a balanced selection of dialects, speakers, and materials.For each of eight dialect regions, 50 male and female speakers having a range of ages and educational backgrounds each read ten carefully chosen sentences.
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