DocumentCode
1937672
Title
Morphological segmentation for speech processing in Basque
Author
Lopez de Ipina, Karmele ; Ezeiza, N. ; Bordel, G. ; Graña, M.
fYear
2002
fDate
11-13 Sept. 2002
Firstpage
187
Lastpage
190
Abstract
Morphological information is traditionally used to develop high quality text to speech (TTS) and automatic speech recognition (ASR) systems. The use of this information improves the naturalness and intelligibility of the TTS synthesis and provides an appropriated way to select lexical units (LU) for ASR. Basque is an agglutinative language with a complex structure inside the words and the morphological information is essential both in TTS and ASR. In this work an automatic morphological segmentation tool oriented to TTS and ASR tasks is presented.
Keywords
speech intelligibility; speech processing; speech recognition; speech synthesis; ASR systems; Basque language; agglutinative language; automatic speech recognition; high quality TTS systems; intelligibility; lexical unit selection; morphological segmentation; naturalness; speech processing; text to speech synthesis; Automatic speech recognition; Dictionaries; Morphology; Natural languages; Power generation; Proposals; Spatial databases; Speech processing; Speech synthesis; Time of arrival estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech Synthesis, 2002. Proceedings of 2002 IEEE Workshop on
Print_ISBN
0-7803-7395-2
Type
conf
DOI
10.1109/WSS.2002.1224405
Filename
1224405
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