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TIMIT was developed by a consortium including Texas Instruments and MIT, from which it derives its name.

The inclusion of speaker demographics brings in many more independent variables, that may help to account for variation in the data, and which facilitate later uses of the corpus for purposes that were not envisaged when the corpus was created, such as sociolinguistics.

A third property is that there is a sharp division between the original linguistic event captured as an audio recording, and the annotations of that event.

Finally, notice that even though TIMIT is a speech corpus, its transcriptions and associated data are just text, and can be processed using programs just like any other text corpus.

Therefore, many of the computational methods described in this book are applicable.

Finally, TIMIT includes demographic data about the speakers, permitting fine-grained study of vocal, social, and gender characteristics.

TIMIT illustrates several key features of corpus design.

Five of the sentences read by each speaker are also read by six other speakers (for comparability).

The remaining three sentences read by each speaker were unique to that speaker (for coverage). You can access its documentation in the usual way, using This gives us a sense of what a speech processing system would have to do in producing or recognizing speech in this particular dialect (New England).

The same holds true of text corpora, in the sense that the original text usually has an external source, and is considered to be an immutable artifact.

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