Glottal inverse filtering algorithm implementation for high accuracy

摘要

Human voice or speech is the most powerful mode for the communication that exist today. The speech production model is commonly known as source filter theory where the source represents the airflow from lungs passing through human glottis and the filter represents the effect of the vocal tract and lip radiation. Glottal source conveys the useful information. In this paper three techniques are implemented for glottal source estimation first the Iterative adaptive inverse filtering (IAIF) inverse filtering, second Closed Phase inverse filtering and the third proposed inverse filtering technique for higher accuracy. All the three techniques are implemented and compared for glottal pulse parameters accuracy.