Abstract
In this paper, a novel event detection pitch detector is presented. Hilbert-Huang Transform is employed to locate the instant at which the glottal pulse takes place. Then, the pitch period is detected accurately by measuring the time interval between two glottal pulses. Experiments show encouraging detection results.
This work was supported by GDSF (No. 036608), the foundation of scientific and technological planning project of Guangzhou city (No. 2003J1-C0201), NSFC(No. 60133020, 69873001) and the National 973 Program (No. G1998030607).
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© 2004 Springer-Verlag Berlin Heidelberg
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Yang, Z., Huang, D., Yang, L. (2004). A Novel Pitch Period Detection Algorithm Based on Hilbert-Huang Transform. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_67
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DOI: https://doi.org/10.1007/978-3-540-30548-4_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
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