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UPDATE1: I tried updating the project in Eclipse but no difference.
Additionally, the design strikes a balance between multiple speakers saying the same sentence in order to permit comparison across speakers, and having a large range of sentences covered by the corpus to get maximal coverage of diphones.
This paper introduces the Schematron language and the available implementations.
An overview of the architecture, with a view to producing customised versions is also provided.
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.