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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 42-570
Full Name: Suma Aswatha
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: #515, "Lakshmi Nivas",2nd Main Road, 'A' Block,2nd stage, Near Vivekananda College, Rajajinagar,Bangalore, Karnataka, Pin Code: 560055
Country: INDIA
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E-mail address: suma.aswatha@wipro.com
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Title of the Paper: Novel pitch extraction methods using average magnitude difference function (AMDF) for LPC Speech Coders in Noisy Environments
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Number of paper pages: 10
Abstract: This paper describes a computationally simple Pitch extraction algorithms using Average Magnitude Difference Function (AMDF) which is a new approach using weighted Autocorrelation and very useful for accurate Pitch Period extraction. Both these algorithms can be software implemented and performance evaluated. Both of them uses center clipping for time domain processing. This paper also in general Compares the effectiveness of the new AMDF using weighted Autocorrelation and the existing Autocorrelation method and how it is possible to utilize this further in Speech Enhancement Systems using the proposed new algorithms for its implementation
Keywords: Speech, Pitch extraction, Linear predictive coding (LPC), Noisy Environments, Average Magnitude Difference Function (AMDF), Weighted Autocorrelation
EXTENSION of the file: .pdf
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