DocumentCode
3425236
Title
Significance of early tagged contextual graphemes in grapheme based speech synthesis and recognition systems
Author
Anumanchipalli, Gopala Krishna ; Prahallad, Kishore ; Black, Alan W.
Author_Institution
Language Technol. Inst., Carnegie Mellon Univ., Pittsburgh, PA
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
4645
Lastpage
4648
Abstract
In this paper we present our argument that context information could be used in early stages i.e., during the definition of mapping of the words into sequence of graphemes. We show that the early tagged contextual graphemes play a significant role in improving the performance of grapheme based speech synthesis and speech recognition systems.
Keywords
computational linguistics; speech recognition; speech synthesis; contextual grapheme; grapheme based speech synthesis; speech recognition system; Context modeling; Dictionaries; Error analysis; Hidden Markov models; Information technology; Investments; Natural languages; Predictive models; Speech recognition; Speech synthesis; Contextual Graphemes; Grapheme; Minority Languages; Speech Recognition; Speech Synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518692
Filename
4518692
Link To Document