Audio quality assessment is one of the key considerations in television and radio broadcastingrnsystems. Up until now, in many Ethiopian broadcasting service providers, thernonly way to measure the audio quality of an end to end broadcasting system is by usingrnthe human subjective evaluation method. Even though subjective evaluation is the idealrnmethod for assessing the audio quality, it is time-consuming and even more challengingrnfor real-time audio quality monitoring. We, therefore, require an objective measurementrnmethod that can quantitatively estimate the perceptual audio quality based on the physicalrnfeatures of the audio signal. Consequently, the idea of substituting the subjectivernevaluation by objective, computer-based methods has been an ongoing focus of researchrnand development.rnSeveral methods for making objective perceptual measurement of audio quality have beenrnintroduced and standardized during the last decade; however, most approaches have accuracyrnissues. To solve these problems an improved intrusive objective audio qualityrnestimation system has been proposed based on a psychoacoustically validated computationalrnhuman auditory model and based on the framework of the VISQOLAudio audiornquality assessment metric.rnThis thesis evaluates the performance of the proposed model, POAQ-CAM, against thernlatest ViSQOLAudio, PEAQb and PEMO-Q models using a large database of audio andrnspeech subjective listening tests that were originally carried out by International TelecommunicationrnUnion (ITU), CoreSV and TCD-VOIP. Compared to the above models, thernproposed estimation system has a considerable improvement both in terms of accuracy,rnmeasured using root mean square error (RMSE) and linearity measured based on therncorrelation coeï¬ƒcient. The RMSE values of POAQ-CAM are reduced by 22.65%, 43.1%rnand 48.1% with respect to ViSQOLAudio, PEMO-Q and PEAQb models, while the