Word Boundary Detection in Continuous Speech based on Suprasegmental Features for Hindi Language
Word boundary detection in continuous speech is very common and important problem in speech synthesis and recognition. Several researches are open on this field. Since there is no sign of start of the word, end of the word and number of words in the spoken utterance of any natural language, one must study the intonation pattern of a particular language. In this paper an algorithm is proposed to detect word boundaries in continuous speech of Hindi language. A careful study of the intonation pattern of Hindi Janguage has been done. Based on this study it is observed that, there are several suprasegmental parameters of speech signal such as pitch, FO fundamental frequency, duration, intensity, and pause, which can play important role in finding some clues to detect the start and the end of the word from the spoken utterance of Hindi Language. The proposed algorithm is based mainly on two prosodic parameters, pitch and intensity.
Word boundary detection Prosody Pitch Intensity
Archana Agarwal Anurag Jain Nupur Prakash S.S.Agrawal
University School of Information Technology G.G.S Indraprastha University Delhi, India Advisor.NLP department C-DAC NOIDA (UP),India
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1431-1434
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）