2005•Journal of China Institute of CommunicationsRequires access

Improved SHR pitch detection algorithm with high accuracy

Xiaohui Zhao

Open publisher page 0 citations

Abstract

An improving sub-harmonic to harmonic ratio(ISHR)algorithm based on sub-harmonic to harmonic ratio(SHR)and using the voiced speech harmonic and sub-harmonic in the speech sinusoidal model algorithm was proposed.According to the characteristics of amplitude and frequency modulation in speech analysis,amplitude and autocorrelation ratio in frequency domain,this algorithm through the mean square error obtained from the sinusoidal model could detect accurate pitch.Simulation results indicate that the proposed algorithm possesses high accuracy and reliability in speech pitch detection.

About this research paper

What this paper is about

An improving sub-harmonic to harmonic ratio(ISHR)algorithm based on sub-harmonic to harmonic ratio(SHR)and using the voiced speech harmonic and sub-harmonic in the speech sinusoidal model algorithm was proposed.According to the characteristics of amplitude and frequency modulation in speech analysis,amplitude and autocorrelation ratio in frequency domain,this algorithm through the mean square error obtained from the sinusoidal model could detect accurate pitch.Simulation results indicate that the proposed algorithm possesses high accuracy and reliability in speech pitch detection.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

An improving sub-harmonic to harmonic ratio(ISHR)algorithm based on sub-harmonic to harmonic ratio(SHR)and using the voiced speech harmonic and sub-harmonic in the speech sinusoidal model algorithm was proposed.According to the characteristics of amplitude and frequency modulation in speech analysis,amplitude and autocorrelation ratio in frequency domain,this algorithm through the mean square error obtained from the sinusoidal model could detect accurate pitch.Simulation results indicate that the proposed algorithm possesses high accuracy and reliability in speech pitch detection.

Key concepts: Pitch detection algorithm, Harmonic, Autocorrelation, Amplitude, Algorithm, Computer science, Frequency domain, Reliability (semiconductor)

Related papers

Back to paper searchBrowse research topicsOriginal source
Improved SHR pitch detection algorithm with high accuracy — Research Paper | ScholarLens