Abstract
This study jointly utilizes stationary wavelet transform (SWT) and harmonic superposition (HS) techniques to locate zero-crossings closely related to glottal closure instants (GCI). The entire process is performed directly on voiced speech signals without referring to the linear prediction residual or voiced source signal derived by inverse filtering. Subsequent to the multi-scale SWT decomposition, a linear phase FIR filter is introduced to translate positive zero-crossings into pulse-like features. While the product across the approximation coefficients in various SWT levels sharpens impulse features, the HS is employed to sieve out the main pulses corresponding GCIs. The advantages of using the proposed SWT–HS scheme for GCI detection are examined using the PTDB-TUG database. Compared with the other two advanced methods, namely the SEDREAMS and ZFR, without the assistance of any refining process the proposed SWT–HS not only renders better accuracy in GCI positioning but exhibits superior robustness against additive noise.
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This work was supported by the Ministry of Science and Technology, Taiwan, ROC, under Grant MOST 102-2221-E-197-020.
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Hu, HT., Hsu, LY. Robust glottal closure instant detection by jointly exploiting stationary wavelet transform and harmonic superposition. Int J Speech Technol 18, 685–695 (2015). https://doi.org/10.1007/s10772-015-9316-2
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DOI: https://doi.org/10.1007/s10772-015-9316-2