Fundamental frequency estimation based on mean values

Ardeleanu, Andrei Sebastian; Temneanu, Marinel

doi:10.1109/atee.2013.6563350

Cited by 3 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Speech. It was found that out of 16 subjects, the mean values of 6 subjects (4,6,12,14,17,20) of RAPT with filter have been reduced, approaching towards the threshold value. This is further analysed using the standard deviation F0 values of each subject.…”

Section: Resultsmentioning

confidence: 96%

“…They proposed a criterion based on the Summation of Residual Harmonics (SRH) both for pitch estimation and determination of voicing boundaries. Ardeleanu [14] used a time domain method, which analyzed mean values of data segments to determine the fundamental frequency. Ghahremani [15] presented a pitch tracking algorithm based on normalized autocorrelation method.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A study of F0 estimation based on RAPT framework using sustained vowel

Karunaimathi

Gladis

Dalvi

2015

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

View full text Add to dashboard Cite

Acoustic analysis plays a vital role in the study of human voice. Acoustic parameters such as Fundamental frequency (F0) can be derived directly from voices. It is one of the most proven parameters that determines the normality or abnormality of voice disorders in people. The Statistical measures of fundamental frequency, such as mean F0 and standard deviation F0 are suitable for clinical assessment of voices. In this study, these measures are computed using Robust Algorithm for Pitch Tracking (RAPT) and Dr. Speech algorithms. The common error that occurs in the fundamental frequency estimation algorithm is the octave error. The postprocessing method namely de-step filter is applied to rectify this error. This study uses Dr. Speech as the benchmark and evaluates the robustness of the RAPT algorithm for the original F0 contour and de-step filtered contour. The results indicate that the use of the filter gives significant improvement to the performance of the RAPT algorithm, thus making it suitable for clinical evaluation of the fundamental frequency.

show abstract

Section: Resultsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%