AN EFFECTIVE EVALUATION STUDY OF OBJECTIVE MEASURES USING SPECTRAL SUBTRACTIVE ENHANCED SIGNAL

Sukhvinder Kaur, Anil Garg

Abstract: Unwanted noises have a negative influence over communication because it disturbs the conversation and make the communication impossible. Speech enhancement algorithms are used for improving the quality and intelligibility or to reduce listener fatigues. Assessment of speech quality can be done by using either subjective listening test or objective quality measure. Evaluation of several objective measures with the speech processed by enhancement algorithms has been performed but these having limitations to assess original speech signal. This paper represents the study of speech quality measures and compute the values used for regression analyses of the objective measures evaluation study using spectral subtraction algorithm based enhanced speech signal.

Keywords: MOS, ITU-T (P.835), SNRseg, log- likelihood ratio and itakura-saito.

DOI: https://doi.org/10.15623/ijret.2015.0403062