Dual Parameters for Voiced-Unvoiced Speech Signal Determination

This paper describes the application of the notion of instantaneous frequency amplitude spectrum (IFAS) to discriminate voiced and unvoiced segment of speech signal. The classification procedures of speech signal into voiced and unvoiced is determined by using harmonicity measure acquired after evaluating instantaneous frequency amplitude spectrum. For accuracy improvement, we use secondary parameter during transition from voiced-to-unvoiced and unvoiced-to-unvoiced to confirm the voiced area estimated by IFAS. Entropy of magnitude spectrum and instantaneous power are considered in this investigation. The performance of the dual method is compared to single thresholding using IFAS and also ESPS, AMDF and TEMPO to demonstrate its effectiveness.