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arXiv · 2305.15898

Room Impulse Response Estimation in a Multiple Source Environment

Kyungyun Lee·Jeonghun Seo·Keunwoo Choi·Sangmoon Lee·Ben Sangbae Chon
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Abstract

In real-world acoustic scenarios, there often are multiple sound sources present in a room. These sources are situated in various locations and produce sounds that reach the listener from multiple directions. The presence of multiple sources in a room creates new challenges in estimating the room impulse response (RIR) as each source has a unique RIR, dependent on its location and orientation. Therefore, issues of determining which RIR should be predicted and how to predict it arise, when the input signal is a mixture of multiple reverberated sources. To address these, we propose a new task of predicting a "representative" RIR for a room in a multiple source environment and present a training method to achieve this goal. In contrast to the model trained in a single source environment, our method shows robust performance, regardless of the number of sources in the environment.

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Kyungyun Lee, Jeonghun Seo, Keunwoo Choi, Sangmoon Lee, Ben Sangbae Chon. 2023-05-25. Room Impulse Response Estimation in a Multiple Source Environment. https://arxiv.org/abs/2305.15898

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