Measuring the Perceived Importance of Speech Segments for Transmission over IP Networks
Yusuke Hiwasaki · IEICE Transactions on Communications · 2006
This paper presents a way of using a linear regression model to produce a single-valued criterion that indicates the perceived importance of each block in a stream of speech blocks.This method is superior to the conventional approach, voice activity detection (VAD), in that it provides a dynamically changing priority value for speech segments with finer granularity.The approach can be used in conjunction with scalable speech coding techniques in the context of IP QoS services to achieve a flexible form of quality control for speech transmission.A simple linear regression model is used to estimate a mean opinion score (MOS) of the various cases of missing speech segments.The estimated MOS is a continuous value that can be mapped to priority levels with arbitrary granularity.Through subjective evaluation, we show the validity of the calculated priority values.