Estimating the voice source in noise
Gang Chen, Yen-Liang Shue, Jody E. Kreiman, Abeer A. Alwan · 2012
Estimation of the glottal source has applications in many areas of speech processing. Therefore, a noise-robust automatic source estimation algorithm is proposed in this paper. The source signal is estimated using a codebook search approach. The glottal area waveforms extracted from high-speed recordings of the glottis is converted to the glottal flow signals in order to evaluate the performance of the proposed source estimation algorithm. Results in clean and noisy conditions, on average, show that the proposed algorithm provides more accurate estimation than the software toolkit Aparat [1] as well as an earlier approach [2].