Objective speech quality estimation of in ear microphone speech
Speech captured from an in ear microphone (IEM) under an intra aural device is beneficial in extremely noisy environments as it maintains a relatively high signal to noise ratio. Due to its limited bandwidth, speech enhancement is required in order to obtain a more natural speech. Consequently, quick and practical measurement of speech quality is important. In this paper, we compare the performance of the quality of intrusive and non intrusive objective quality metrics on IEM speech, and propose an adaptation of a non intrusive metric (SRMR) to IEM speech signals. We show that the updated SRMR metric, SRMR IEM, significantly reduces the performance gap between non intrusive and intrusive metrics.