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    Moreover, notice that all of the data types included in the TIMIT corpus fall into the two basic categories of lexicon and text, which we will discuss below.Even the speaker demographics data is just another instance of the lexicon data type.As in other chapters, there will be many examples drawn from practical experience managing linguistic data, including data that has been collected in the course of linguistic fieldwork, laboratory work, and web crawling.The TIMIT corpus of read speech was the first annotated speech database to be widely distributed, and it has an especially clear organization.

    A notable feature of linguistic data management is that usually brings both data types together, and that it can draw on results and techniques from both fields.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.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.

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