Juan-Pablo Ramirez

Parameter-based prediction of speech quality in listening context—Towards a WB E-model

The paper presents a first version of a wideband E-model applicable to planning future telephone networks in a listening-only context. It allows to predict wideband speech quality under bandwidth restrictions and wideband and narrowband speech coding with and without transmission errors, including the quality impact due to noise. The paper presents the different model components and discusses their prediction performance for a large set of listening tests. Based on a discussion of the proposed listening model, an outlook on required future research including the conversational situation is provided.

Binaural and better ear listening predictions for spatially distributed sources

The distribution of acoustical sources in space provides interaural differences to the auditory system. They improve source selectivity and thus enhance performances in speech recognition by subjects. The present study addresses predictions of intelligibility in binaural hearing. In a first experiment, the model proposed by Lavandier and Culling (2010) is successfully validated on an exhaustive set of speech and noise distribution in anechoic room. A second experimental set of data in reverberant rooms is compared to the predictions of the Speech Transmission Index combined with Binaural Masking Level Differences.