Title :
Morphological segmentation for speech processing in Basque
Author :
Lopez de Ipina, Karmele ; Ezeiza, N. ; Bordel, G. ; Graña, M.
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;
Conference_Titel :
Speech Synthesis, 2002. Proceedings of 2002 IEEE Workshop on
Print_ISBN :
0-7803-7395-2
DOI :
10.1109/WSS.2002.1224405
