Paper Info
Title
Predicting prosodic words from lexical words - a first step towards predicting prosody from text
Abstract
Much remains unsolved in how to predict prosody from text for unlimited Mandarin Chinese TTS. The interactions and the rules between syntactic structure and prosodic structure are still unresolved challenges. By using part-of-speech (POS) tagging, for which text lexical information is required, we aim to find significant patterns of word grouping from analyzing real speech data and such lexical information. The paper reports discrepancies found between lexical words (LW) parsed from text and prosodic words (PW) annotated from speech data, and proposes a statistical model to predict PWs from LWs. In the statistical model, the length of the word and the tagging from POS are two essential features to predict PWs, and the results show approximately 90% of prediction for PWs; however, it does leave more room for extension. We believe that evidence from PW predictions is a first step towards building prosody models from text.
Year
DOI
Venue
2004
10.1109/CHINSL.2004.1409614
ISCSLP
Keywords
Field
DocType
prosodic structure,part-of-speech tagging,rule-based model,statistical analysis,natural language interfaces,unlimited mandarin chinese tts,word grouping,unlimited tts,speech synthesis,syntactic structure,lexical words,text analysis,prosodic word prediction,statistical model,mandarin chinese,part of speech
Prosody,Text mining,Speech synthesis,Computer science,Speech recognition,Artificial intelligence,Statistical model,Natural language processing,Parsing,Mandarin Chinese,Syntactic structure,Statistical analysis
Conference
ISBN
Citations 
PageRank 
0-7803-8678-7
7
1.08
References 
Authors
3
4
Name
Order
Citations
PageRank
Hua-Jui Peng1151.95
Chi-ching Chen271.08
Chiu-Yu Tseng331354.18
Keh-Jiann Chen4761131.86