Appeal No. 1998-0650
Application 08/548,794
Appellant discloses on pages 1 through 4 of the specification,
that there is a need to assign appropriate intonation to the
text so that the speech generated will have a quality of
naturalness. Appellant discloses that intonation includes
such features as variations in prominence, pitch range,
intonational contour, and intonational phrasing. Appellant
discloses a method of training a text-to-speech system that
involves taking a set of predetermined text and having a human
annotate it with intonational feature annotations. This
results in annotated text. Next, the structure of the set of
predetermined text is analyzed to generate information which
is a statistical representation. The statistical
representation may be repeatedly used to generate synthesized
speech for new sets of input text without training the text-
to-speech system further. We find that the claim language
recited in Appellant's claim 1 recites subject matter that is
a practical application of generating statistical
representation of intonational feature information for use in
training a text-to-speech system.
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