A concise and effectual method for neutral pitch identification in stuttered speech

Title

A concise and effectual method for neutral pitch identification in stuttered speech

Creator

Yashaswi Alva M.; Nachamai N.M.; Paulose J.

Description

Researchers have studied that human-computer interactions (HCIs) can be more effective only when machines understand the emotions conveyed in speech. Speech emotion recognition has seen growing interest in research due to its usefulness in different applications. Building a neutral speech model becomes an important and challenging task as it can help in identifying different emotions from stuttered speech. This paper suggests two different approaches for identifying neutral pitch from stuttered speech. The implementation has proved through its accuracy the best model that can be adopted for neutral speech pitch identification. 2017 Walter de Gruyter GmbH, Berlin/Boston.

Source

International Journal on Disability and Human Development, Vol-16, No. 2, pp. 165-170.

Date

2017-01-01

Publisher

Walter de Gruyter GmbH

Subject

neutral pitch; speech emotion recognition; stuttered speech

Coverage

Yashaswi Alva M., Department of Computer Science, Christ University, Bangalore, Karnataka, India; Nachamai N.M., Department of Computer Science, Christ University, Bangalore, Karnataka, India; Paulose J., Department of Computer Science, Christ University, Bangalore, Karnataka, India

Rights

Restricted Access

Relation

ISSN: 21911231

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1515/ijdhd-2016-0012

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020378721&doi=10.1515%2fijdhd-2016-0012&partnerID=40&md5=04576e1f0713b690ef83ae4462226488