DocumentCode
1817813
Title
A Chinese word dividing algorithm based on statistical language models
Author
Bin, Tian ; Jun, Cheng ; Kechu, Yi ; Hui, Wang
Author_Institution
Xidian Univ., Xi´´an, China
Volume
1
fYear
1996
fDate
14-18 Oct 1996
Firstpage
805
Abstract
In Chinese speech processing, word dividing still remains a challenging problem, but it is one of the key problems for Chinese speech understanding, text-to-speech (TTS) systems and vocoders based on speech recognition and synthesis (SRSB vocoders). This paper proposes a word dividing algorithm based on statistical language models and Markov chain theory, which find the optimal word dividing solution without making use of grammatical and semantic knowledge
Keywords
Markov processes; natural languages; speech processing; speech recognition; speech synthesis; statistical analysis; vocoders; Chinese speech processing; Chinese speech understanding; Chinese word dividing algorithm; Markov chain theory; optimal word dividing solution; speech recognition; speech synthesis; statistical language models; text to speech systems; vocoders; Decoding; Intserv networks; Laboratories; Natural languages; Network synthesis; Speech processing; Speech recognition; Speech synthesis; Text analysis; Vocoders;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.567385
Filename
567385
Link To Document