An RNN-based algorithm to detect prosodic phrase for Chinese TTS

Author

Ying, Zhiwei ; Shi, Xiaohua

Author_Institution

Intel China Res. Center, Beijing, China

Volume

2

fYear

2001

fDate

2001

Firstpage

809

Abstract

The goal of the work presented here is to automatically predict the prosodic phrase boundaries from the text for Chinese TTS (text-to-speech) by using the trigram of the POS (part-of-speech) with information of the breaks between the prior two word-pairs by using a RNN (recurrent neural network). Prosodic phrase boundaries are very important to a Chinese TTS system because they will influence the prosodic model for speech synthesis. In this paper, the algorithm tries to use RNN to find some mapping relationship between the POS sequence and prosodic phrase boundaries, and hopes to improve the naturalness of synthesized speech

Keywords

recurrent neural nets; speech synthesis; Chinese TTS; POS; RNN-based algorithm; mapping relationship; naturalness; part-of-speech; prosodic model; prosodic phrase boundaries; prosody; recurrent neural network; synthesized speech; text-to-speech; trigram; word-pairs; Acoustic signal detection; Chaos; Data mining; Natural languages; Partial response channels; Poles and towers; Predictive models; Recurrent neural networks; Speech synthesis; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941038

Filename

941038