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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.Five of the sentences read by each speaker are also read by six other speakers (for comparability).
It will be implemented by adding virtual spaces and new lines that are now present in the document itself.
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).
Finally, TIMIT includes demographic data about the speakers, permitting fine-grained study of vocal, social, and gender characteristics.
The TIMIT corpus of read speech was the first annotated speech database to be widely distributed, and it has an especially clear organization.
TIMIT was developed by a consortium including Texas Instruments and MIT, from which it derives its name.
TIMIT illustrates several key features of corpus design.
First, the corpus contains two layers of annotation, at the phonetic and orthographic levels.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.Two sentences, read by all speakers, were designed to bring out dialect variation: The remaining sentences were chosen to be phonetically rich, involving all phones (sounds) and a comprehensive range of diphones (phone bigrams).Therefore, many of the computational methods described in this book are applicable.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.At the top level there is a split between training and testing sets, which gives away its intended use for developing and evaluating statistical models.