Paper Info
Title
Study On The Effectiveness Of The Asr-Based English Teaching Software In Helping College Students' Listening Learning
Abstract
The development of automatic speech recognition (ASR) technology makes the human-computer interaction possible. Considering the deficiencies currently in the English pronunciation teaching, this paper employs relevant principles of speech recognition, proposes the design of an automatic English pronunciation grading system in the English teaching field, describes in detail the system structure, functions and processes and introduces the key technologies and steps to implement the system: dynamic time warping algorithm, establishment of corpuses, consonant/vowel (C/V) segmentation technology and grading standards. Results of a small-scale test show that the system is useful to testing the English pronunciation of international students.
Year
DOI
Venue
2017
10.3991/ijet.v12i08.7142
INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING
Keywords
Field
DocType
speech recognition, English learning, automatic grading, dynamic time warping, phoneme segmentation
Pronunciation,Consonant,Dynamic time warping,Grading (education),Segmentation,Computer science,Active listening,Speech recognition,Software,Artificial intelligence,Natural language processing,Vowel
Journal
Volume
Issue
ISSN
12
8
1863-0383
Citations 
PageRank 
References 
1
0.43
0
Authors
1
Name
Order
Citations
PageRank
Hongyan Zhao195.03