English sentence pronunciation evaluation using rhythm and intonation

Author

Xinguang Li ; Jiahua Chen ; Minfeng Yao ; Dongxiong Shen ; Fan Lin

Author_Institution

Cisco Sch. of Inf., Guangdong Univ. of Foreign Studies, Guangzhou, China

fYear

2014

fDate

15-17 Nov. 2014

Firstpage

366

Lastpage

371

Abstract

Rhythm and intonation are important factors in the English sentence pronunciation evaluation. In this paper, the Mel Frequency Cepstrum Coefficient (MFCC) feature and Hidden Markov Model (HMM) algorithm are used to establish a model for speech recognition. Then it makes an evaluation of English sentence pronunciation focusing on rhythm and intonation, and gives feedbacks and recommendations about pronunciation problems to the users based on the expert knowledge. Verified by experiments, the model has a certain precision and reliability. It has applied to a pronunciation evaluation system which can improve users´ pronunciation.

Keywords

cepstral analysis; hidden Markov models; natural language processing; speech recognition; English sentence pronunciation evaluation; HMM algorithm; MFCC; Mel frequency cepstrum coefficient; hidden Markov model algorithm; intonation; rhythm; speech recognition; Accuracy; Hidden Markov models; Rhythm; Speech; Speech recognition; Standards; Stress; English sentence; Intonation; Pronunciation evaluation; Rhythm; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Informatics (ICSAI), 2014 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-5457-5

Type

conf

DOI

10.1109/ICSAI.2014.7009316

Filename

7009316