Glottal closure instant (GCI) is an important feature in many speech processing applications. Many algorithms have been proposed for GCI estimation from speech signals. The objective of the proposed work is to provide a comprehensive analysis of the performance of various GCI estimation algorithms for singing voice in Indian context. GCI estimation algorithms such as Dynamic Programming Phase Slope Algorithm (DYPSA), Zero Frequency Filtering based technique (ZFF), Speech Event Detection using Residual Excitation And Mean-based Signal (SE-DREAMS), and a modified version of ZFF technique (Modified ZFF) has been used for analysis. The accuracy and reliability of the GCI estimation algorithms are analyzed for different regions based on pitch variation, rapid pitch variation, transition of laryngeal mechanisms and singing styles in Indian classical music. Modified ZFF shows significantly better performance than other GCI estimation algorithms. The robustness of the algorithms to noise is also discussed.
K. S. G. Krishnan and Dr. Govind D., “Comparison of glottal closure instant estimation algorithms for singing voices in Indian context”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.