DocumentCode
542311
Title
Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition
Author
Kanthak, S. ; Ney, H.
Author_Institution
Lehrstuhl für Informatik VI, Computer Science Department, RWTH Aachen - University of Technology, 52056, Germany
Volume
1
fYear
2002
fDate
13-17 May 2002
Abstract
In this paper we propose to use a decision tree based on graphemic acoustic sub-word units together with phonetic questions. We also show that automatic question generation can be used to completely eliminate any manual effort.
Keywords
Europe; Hidden Markov models; Ions; Pipelines; Speech; Speech recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5743871
Filename
5743871
Link To Document