Abstract

Most telecommunication systems are used for communication between two people which interact during a conversation. In general, the quality of conversational speech is the major indicator for telecommunication-service providers to evaluate their systems. In this context, not only the assessment of the overall quality but also the analysis of the conversational speech quality is essential. We present an initial approach towards analyzing the conversational quality by separating a conversation in phases, and extracting individual corresponding perceptual dimensions of quality, as they are subjectively perceived by the system users. These dimensions can be combined for overall quality estimation and may separately be used to diagnose the technical reasons of quality degradation. For this reason, we review known and identify new dimensions of quality perception on the basis of subjective experiments. This enables to deeply analyze conversational speech quality for diagnosis and optimization of telecommunication systems. Index Terms: conversation, speech quality, perceptual quality dimensions, multidimensional analysis

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