Application of a sequential pattern learning system to connected speech recognition

2005 ◽  
Author(s):  
A. Smith ◽  
J. Denenberg ◽  
T. Slack ◽  
C. Tan ◽  
R. Wohlford
Keyword(s):  
Speech Recognition ◽  
Learning System ◽  
Sequential Pattern ◽  
Pattern Learning ◽  
Connected Speech

A Design of a Speech Conversion System from PuTongHua to Cantonese Based on iFLY MSP 2.0

2013 ◽  
Vol 373-375 ◽  
pp. 504-508
Author(s):  
Rong Gui Ma ◽  
Fang Zhou Liu
Keyword(s):  
Speech Recognition ◽  
Learning System ◽  
Computer Assisted ◽  
Text To Speech ◽  
Computer Assisted Learning ◽  
Key Technology ◽  
Conversion System ◽  
Recognition Function ◽  
Text Information ◽  
The Voice

The paper analyzes the working theory of a Speech Conversion System from PuTongHua to Cantonese based on iFLY MSP 2.0. In the system, QISR interface is chosen to complete speech recognition function which is the key technology to convert the voice information into the corresponding text information. Moreover, the QTTS interface is chosen to complete the text to speech function which is the key technology to transform the text which is the result of the speech recognition into the spoken information in Cantonese and then output. Finally, the computer assisted learning system is designed successfully in the environment of Visual C++ 6.0.

Computer aided pronunciation learning system using speech recognition techniques

2006 ◽  
Author(s):  
Sherif Mahdy Abdou ◽  
Salah Eldeen Hamid ◽  
Mohsen Rashwan ◽  
Abdurrahman Samir ◽  
Ossama Abdel-Hamid ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Learning System ◽  
Computer Aided

Developing and evaluating an oral skills training website supported by automatic speech recognition technology

ReCALL ◽  
2011 ◽  
Vol 23 (1) ◽  
pp. 59-78 ◽  
Author(s):  
Howard Hao-Jan Chen
Keyword(s):  
Speech Recognition ◽  
Language Learning ◽  
Automatic Speech Recognition ◽  
Oral Communication ◽  
Skills Training ◽  
Learning System ◽  
Teachers Perceptions ◽  
Different Types ◽  
Efl Students ◽  
Oral Skills

AbstractOral communication ability has become increasingly important to many EFL students. Several commercial software programs based on automatic speech recognition (ASR) technologies are available but their prices are not affordable for many students. This paper will demonstrate how the Microsoft Speech Application Software Development Kit (SASDK), a free but powerful tool, can be used to develop an oral skills training website for EFL students. This ASR-based website offers six different types of online exercises which allow students to practise their oral skills and obtain immediate feedback on their performance. A group of 25 college students and a group of 35 pre-service English teachers were invited to use the website. Two surveys were conducted to investigate the students’ and the pre-service teachers’ perceptions of this site. The results indicated that most teachers and students enjoyed using this website, which they felt could help improve their English oral skills. They also pointed out that the main strength of the ASR-based learning system is that it offers several different types of exercises which can encourage learners to produce more output in a low-anxiety environment. The major limitations of the website are the insufficient feedback and the challenging standards one must meet in order to achieve a pass mark. These findings can be useful for teachers who are interested in using ASR in teaching and for CALL researchers who aim to develop better ASR-based systems for language learning.

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