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Kolan is a development of over ten years, satisfying
the need of a Hebrew Text-to-Speech program. Hebrew text poses
two main problems for a TTS module:
1. The text is ambiguous. E.g. the words "HIFNIM" (grasped),
"HAPANIM" (the face) and "HAPNIM" (the interior) are all written
exactly the same; KOLAN has a special disambiguation module
that resolves this problem with a very high degree of accuracy.
2. The number of words is huge; due to inflections,
Hebrew has more than 70 million words! Just one verb can be
inflected in up to 10,000 forms. KOLAN includes the MILIM
morphological analyzer that correctly handles each and every
form that exists in the language.
Technical
Specifications:
KOLAN
is available both in its own API or as a SAPI (Microsoft Speech
API) compliant speech-font.
KOLAN permits simultaneous activity on multiple channels
(up to 32 on a single Pentium III server,)
Linguistic
Specifications:
97%
correct vocalization of Hebrew text. Near 100% correct stress
placement Natural intonation patterns Correct reading of English
text, numbers, URL's, etc.
Applications:
The
most important application for TTS is in telephony. KOLAN
is incorporated into added- value applications in telephony,
chiefly to enable voice access to e- mail messages and appointment
books. Voice access is most important for on-the-go situations,
where the user's eyes cannot be set on the screen of his or
her mobile phone.
KOLAN is, of course, dramatically useful to people with learning and reading disabilities. For the blind, Kolan is incorporated into all speech enabled products produced by the leading supplier of tools for the blind and visually impaired - Tesher Gaash. It also offers a solution for users
of alternative communications, who cannot speak in their own
voices but wish for their words to be heard in Hebrew.
The SAPI compliance enables KOLAN to be used in conjunction
with the leading screen reading and alternative communication
products.
Future
KOLAN's
morphological and syntactic analysis and disambiguation modules
are applicable to languages where there is a problem of rich
morphology and ambiguity. Melingo plans to
duplicate the success of KOLAN to such languages.
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