Improved SHR pitch detection algorithm with high accuracy
Xiaohui Zhao
Abstract
Xiaohui Zhao
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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)