In this paper, we study the impact of the sizes of the rooms used to train the models on their ability to identify the materials in new room sizes.

A new method of MIMO NC-OFDM semi-blind channel estimation based on null space is proposed. Using the null space of channel matrix obtained by linear prediction ...

Abstract—A comprehensive and accurate description of the indoor radio environment is a prerequisite for environment-aware wireless communications.

... Learning Models for Predicting Indoor Materials from ... Impact of Room Size on Machine Larning-based Material Prediction using Channel Impulse Response.

This research implemented a methodology for the rapid impulse response generation using the position of a moving listener inside a fixed sound field.

Jun 20, 2023 · In the paper, we propose an approach for identifying the materials of the surfaces using channel impulse response (CIR) and RE identification ...

Jan 15, 2024 · Our results show that SoundCam can be used to train learning-based methods to estimate a human's location to within 30 cm of error, using room ...

Accurate estimation of Room Impulse Response (RIR), which captures an environment's acoustic properties, is im- portant for speech processing and AR/VR ...

The early response consists of the direct path and early reflec- tions imposed by the microphone-room geometry and the late-field response consists of room ...

Abstract. This work presents a machine-learning-based method to estimate the reverberation time of a virtual room for auralization purposes.