Speech disabilities in adults and the suitable speech recognition software tools - A review

Title

Speech disabilities in adults and the suitable speech recognition software tools - A review

Creator

Balaji V.; Sadashivappa G.

Description

Speech impairment, though not a major obstacle, is still a problem for people who suffer from it, while they are making public presentations. This paper describes the different speech disabilities in adults and reviews the available software and other computer based tools that facilitate better communication for people with speech impairment. The motivation for this writing has been the fact that stuttering, one of the types of speech disability has affected about 1 percentage of the people worldwide. This fact was provided by the Stuttering Foundation of America, a Non-profit Organization, functioning since 1947. A solution to stuttering is expected to benefit a considerable population. Speech recognition software tools help people with disabilities use their computers and other hand held devices to satisfy their day-to-day needs which otherwise, require dedicated domestic help and also question the person's ability to be independent. ASR (Automatic Speech Recognition) systems are popular among the common people and people with motor disabilities, while using these techniques for the treatment of speech correction is a current research field and is of interest to SLPs/SLTs (Speech Language Pathologist / Speech Language Therapist). On-going research also includes development of ASR based software to facilitate comfortable oral communication with people suffering from speech dysfunctions, i.e., in the domain of AAC (Augmentative and Alternative Communication). 2015 IEEE.

Source

2015 International Conference on Computing and Network Communications, CoCoNet 2015, pp. 559-564.

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Augmentative and Alternative Communication (AAC); Automatic Speech Recognition (ASR); Disability; Speech Language Pathology/Pathologist (SLP); Speech Language Therapy/Therapist (SLT)

Coverage

Balaji V., Department of Computer Science, Christ University, Bangalore, India; Sadashivappa G., Department of Telecommunication Engineering, R v College of Engineering, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 978-146737309-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CoCoNet.2015.7411243

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964853693&doi=10.1109%2fCoCoNet.2015.7411243&partnerID=40&md5=83092f0dad4ff1e9e711a08efcf22793