Room Impulse Response Estimation in a Multiple Source Environment

Autor:	Lee, Kyungyun, Seo, Jeonghun, Choi, Keunwoo, Lee, Sangmoon, Chon, Ben Sangbae
Rok vydání:	2023
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: 2023 AES International Conference on Spatial and Immersive Audio
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2305.15898 Zobrazit plný text záznamu View this record from Arxiv