Formant frequency estimation of artificial larynx transducer speech using recurrent neural network

Title

Formant frequency estimation of artificial larynx transducer speech using recurrent neural network

Creator

Inbanila K.; Kumar E.K.

Description

Human Beings communicate with each other by speaking. The speech as a signal has 2 components voiced and unvoiced speech. Voiced speech is produced by the excitation produced at glottis and unvoiced is produced by noise created at the mouth. The voiced components that is produced at glottis passes through the vocal tract and then reach the mouth. The nature of the speech is determined mostly at the vocal tract. But for some reason for some people the speech produced is not proper because of the organ problems or motor disorder issue. In these cases, the speech produced is called disordered speech and termed with the names like stammering, apraxia, dysar-theria and so on. In some case, the larynx is removed from human body because of cancer or other issues. For them, Artificial Larynx Transducer (ALT) is given to produce substitution voice. This paper aims at formant frequency estimation of the speech produced with the help of ALT using Recurrent Neural Network (RNN) method. The speech produced with the help of ALT will lack in naturalness and intelligibility. The direct noise coming from ALT device is called DREL noise. This also creates irritability to the listener. So in this paper, a method is proposed for the DREL noise removal and formant frequency estimation of the ALT speech. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.

Source

Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. 1 Special Issue, pp. 72-81.

Date

2019-01-01

Publisher

Institute of Advanced Scientific Research, Inc.

Subject

ALT speech; DREL noise; F1 Formant deviation; Formant frequency; Mel frequency Cepstral Coefficient (MFCC); RNN

Coverage

Inbanila K., Electronics and Communication Engineering, CHRIST (Deemed to be University), India; Kumar E.K., Electronics and Communication Engineering, East Point College of Engineering and Technology, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 1943023X

Format

Online

Language

English

Type

Article

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070943606&partnerID=40&md5=5fa13b975c7330a0594e6e53c982d4b0