Title
A novel WI decoder for the segmented frame decoding in the text-to-speech synthesizer
Abstract
The implementation of a high quality text-to-speech (TTS) requires huge storage space for a large number of speech segments, because current TTS synthesizers are mostly based on a technique known as synthesis by concatenation. In order to compress the database in the TTS system, the use of speech coders would be an efficient solution. Waveform interpolation (WI) has been shown to be an efficient speech coding algorithm to provide high quality speech at low bit rates. However, the speech coder used in a TTS system has to be different from the one used in communication applications because the decoder in the TTS system should have an ability to decode segmented frames. In this paper, we propose a novel WI decoder scheme that can handle the segmented frame decoding. The decoder can reconstruct a good quality speech even at the concatenation boundary, which is effective for the TTS system based on a synthesis by concatenation.
Year
Venue
Keywords
2010
SIGMAP
speech coding,speech synthesizer,text-to-speech,waveform interpolation,interpolation,speech segmentation,speech,text to speech,decoding
Field
DocType
Citations 
Computer vision,Speech processing,Speech synthesis,Speech coding,Voice activity detection,Computer science,PSQM,Speech recognition,Concatenation,Artificial intelligence,Codec2,Linear predictive coding
Conference
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Kyungjin Byun173.31
Nak-Woong Eum2319.55
Heebum Jung382.14