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
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;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567385
