DocumentCode
312228
Title
A method for estimating prosodic symbol from text for Japanese text-to-speech synthesis
Author
Magata, Ken-ichi ; Hamagami, Tomoki ; Komura, Mitsuo
Author_Institution
Intelligent Syst. Lab., Secom Co. Ltd., Tokyo, Japan
Volume
3
fYear
1996
fDate
3-6 Oct 1996
Firstpage
1373
Abstract
This report describes a method for estimating the separation degree at the bunsetsu boundary (SD) for Japanese text-to-speech synthesis. Our method gives us the prosodic symbol without using complicated linguistic analysis. First we classify bunsetsus according to the final morpheme. Each classified bunsetsu has a temporary separation degree in advance. We call this “the estimated separation degree” (ESD). ESD is derived from the SD´s statistical tendency regarding each bunsetsu. The SD is decided by rules that correct the ESD as an initial degree. Correction rules are constructed by comparing the ESD, and the SD is observed from natural speech to cancel the frequently occurring mismatches. An absolute evaluation test of five grades was performed upon 300 sentences with prosodic symbols given by our method. As a result, the ratio of “natural” and “somewhat unnatural but tolerable” exceeded 2/3. The proportion of “serious error” was less than 10%, thus giving us satisfactory results
Keywords
errors; linguistics; natural language interfaces; speech synthesis; statistical analysis; Japanese text-to-speech synthesis; bunsetsu boundary; correction rules; error; linguistic analysis; morpheme; natural speech; prosodic symbol estimation; sentences; separation degree; statistical tendency; Databases; Electrostatic discharge; Intelligent systems; Laboratories; Natural languages; Performance evaluation; Speech analysis; Speech synthesis; Spread spectrum communication; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location
Philadelphia, PA
Print_ISBN
0-7803-3555-4
Type
conf
DOI
10.1109/ICSLP.1996.607869
Filename
607869
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