Paper Info
Title
Word Endpoint Correction Techniques for a Text-to-Multimedia Composition System
Abstract
In concatenative Text-to-Multimedia composition systems, accurate endpoint detection of the uttered audio words, used as input into such systems, is needed to ensure optimal audio concatenation. In this paper, we outline a method of endpoint detection that takes advantage of the fact that the text of the audio word is known before endpoint detection actually takes place. From the text, the associated phonemes for an uttered audio word can be determined and used to fine tune the endpoint detection for a specific given phoneme.
Year
DOI
Venue
2002
10.1109/TAI.2002.1180821
ICTAI
Keywords
Field
DocType
accurate endpoint detection,optimal audio concatenation,audio word,concatenative text-to-multimedia composition system,word endpoint correction techniques,text-to-multimedia composition system,fine tune,associated phoneme,endpoint detection,specific given phoneme,concatenated codes,acoustic noise,speech recognition,speech synthesis
Noise,Concatenated error correction code,Speech synthesis,Computer science,Speech recognition,Concatenation,Natural language processing,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1082-3409
0-7695-1849-4
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
k turkowski100.34
Hamidzadeh Babak218424.99
Rabab K Ward31440135.88