Abstract
English sentences are assigned to a small number of intonational classes. Each class has an associated fundamental frequency template, which characterizes the F0 contour by specifying up to two frequency points per word—typically a peak frequency and a final frequency. The F0 contour for a particular sentence is elaborated by cubic polynomial interpolation of the template's frequency points, fixed in time by the actual durations of the words of the sentence. Similar sentences with different numbers of words can be assigned to the same intonational class if short phrases are described by a single pair of frequency points, which are then algorithmically elaborated. In a practical application the name of a template is stored with the text of a sentence, and the spoken sentence is synthesized by applying the template to the sequence of LPC-encoded words in real time. A demonstration tape will be played.
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