Paper Info
Title
Automatic articulation error detection tool for Punjabi language with aid for hearing impaired people
Abstract
iculation errors are common in children but may also persist in adulthood. These errors decrease the speech intelligibility and hamper the ability of a person to communicate properly. A speech language pathologist carefully examines the speech to identify the articulation error patterns. It is exhaustive and time consuming process. This information about the patterns of articulation disorders is then used in treatment. In this paper, a noble approach has been presented to automatically detect the articulation error patterns in Punjabi speech. To provide support for hearing impaired people, a picture naming task has been developed. The proposed tool processes recorded spoken words and outputs the articulation error patterns i.e. substitution and omission of particular phonemes and their position in the spoken word. The basic principles of speech word recognition are used to establish the articulation errors in speech samples. The rigorous experimentation has shown that the proposed tool is accurate in identifying the articulation error patterns in controlled environment.
Year
DOI
Venue
2015
10.1007/s10772-014-9256-2
International Journal of Speech Technology
Keywords
Field
DocType
Articulation disorders, Punjabi Articulation Test, Mel Frequency Cepstral Coefficients, Classification using support vector machines and voting
Mel-frequency cepstrum,Spoken word,Computer science,Articulation Disorders,Word recognition,Speech recognition,Error detection and correction,Artificial intelligence,Natural language processing,Speech production,Intelligibility (communication)
Journal
Volume
Issue
ISSN
18
2
1572-8110
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Shailendra Singh171.48
Anshul Thakur214.41
Dharam Vir300.34