The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 42-105
Full Name: Kalyani Akant
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: 15, Manoharbhai Ward, Teachers Colony, Samarth Nagar, Gondia, Maharashtra
Country: INDIA
Tel: 07182-250673
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E-mail address: kalyaniakant@gmail.com
Other E-mails: kalyaniakant@yahoo.co.in
Title of the Paper: Accurate Monophonic Pitch Tracking Algorithm For QBH And Microtone Research
Authors as they appear in the Paper: Kalyani Akant, S. S. Limaye, Rajesh Pande
Email addresses of all the authors: kalyaniakant@gmail.com,shyam_limaye@hotmail.com,panderaj@yahoo.com
Number of paper pages: 10
Abstract: An algorithm is proposed to detect the pitch of a singing voice accurately for Query By Humming (QBH) and microtone research applications. Computational efficiency and accuracy are the important features of this algorithm, which are principle requirements for these applications. Traditional method for finding the fundamental frequency is to plot the Fourier Transform of the sound segment and pick up the highest peak. The difficulty with this method is that the first peak, i.e. the peak corresponding to fundamental frequency is often suppressed and it may not be dominant. So the detected frequency is often double of the actual. Another popular technique for pitch determination is autocorrelation and it suffers from the same drawback. In our proposed method, we detect the periodicity of the Fourier transform by again taking its Fourier transform to obtain the "Fourier of Fourier transform". Then the resolution of frequency measurement is improved much beyond the FFT !
bin size by employing Parabolic Interpolation. To track the pitch over time, the music sample is divided into overlapping windows of 46.4 ms duration. This algorithm is efficient for harmonic sounds and was tested on natural as well as synthetic signals, including male vocal, female vocal samples and mathematically generated harmonic signals. Our method outperforms the existing methods significantly by eliminating possibility of octave error and improving performance by accurate estimation of pitch. Accuracy in frequency estimation was compared with other methods; FT1, Autocorrelation and Fourier of Fourier.
Keywords: QBH-Query by humming, Microtone Research, Fourier of Fourier Transform, Parabolic Interpolation, Pitch, FT1, Autocorrelation
EXTENSION of the file: .doc
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