Work

Estimation of parameters of a harmonic chirp model

Year: 2021

Type: article

Abstract: Here, we address the problem of estimation of the parameters of a harmonic chirp model, often encountered in speech and music applications. This model was introduced recently by Christensen and Jensen [1] as an extension of a standard harmonic model. We propose two methods of estimation: the least squares estimation method and the approximate least squares estimation method. We establish the asymptotic properties of the least squares estimators as well as the approximate least squares estimators of the parameters of this model under the assumption of stationary errors. These asymptotic properties are proved analytically as well as corroborated through simulation experiments. We present two speech signal data sets and their analysis using both the estimation methods. The results show that the proposed methods perform reasonably well for estimating the unknown model parameters.

Source: IET Signal Processing

DOI: 10.1049/sil2.12038

Authors: Rhythm Grover, Debasis Kundu, Amit Mitra

Institutions: Indian Statistical Institute, Delhi Centre, Indian Statistical Institute, Indian Institute of Technology Kanpur

Language: Latvian

Topic: Speech and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,200

OpenAlex ID: W3159103498

FWCI:

Cites: 36

Cited by:

Related to: 10