ALT speech recognition system using F0 improvement and spectral tilt method

Title

ALT speech recognition system using F0 improvement and spectral tilt method

Creator

Inbanila K.; Krishnakumar E.

Description

Human Beings use voice as the medium for communication. Human Speech is a very complex signal with multiple frequencies, amplitudes and intensities that mix up to convey specific information. In international terminology, voice disorders are described as dysphonia. Various dysphonias are clearly organic origin due to nervous, muscular, neuro or cellular degenerative disease affecting the body or it is from local laryngeal changes. Other dysphonias having no visible laryngeal causes are grouped as non organic involving habitual dysphonias that arise from faulty speaking habits or the psycho genic dysphonias that stem from emotional causes. This paper looks at a speech recognition system for disordered speech generated by Physically Disabled people using Artificial Larynx Transducer (ALT) device from the perspective of Speech Signal Processing. From the ALT speech features like formant, pitch and spectral tilt is estimated. For formant frequency estimation RNN technique is used. Before training the system pitch frequency improvement is accomplished. Now the features and homomorphic based coefficients are used for training the system. The same operation is performed during the test phase and compared with the training set. Comparison and decision making is accomplished using distance estimator. BEIESP.

Source

International Journal of Engineering and Advanced Technology, Vol-8, No. 6, pp. 3556-3561.

Date

2019-01-01

Publisher

Blue Eyes Intelligence Engineering and Sciences Publication

Subject

ALT speech; Disordered speech; DREL noise; Formant frequency; Healthy speech (HE speech); Spectral Tilt

Coverage

Inbanila K., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Krishnakumar E., East Point College of Engineering and Technology, Avalahalli, Bengaluru, Karnataka, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 22498958

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.35940/ijeat.F9348.088619

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072044607&doi=10.35940%2fijeat.F9348.088619&partnerID=40&md5=e304761b46779dae633617347980a18f