<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zhongshu Ge</style></author><author><style face="normal" font="default" size="100%">Liang Li</style></author><author><style face="normal" font="default" size="100%">Tianshu Qu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Hybrid Time and Time-frequency Domain Implicit NeuralRepresentation for Acoustic Fields</style></title><secondary-title><style face="normal" font="default" size="100%">the AES 156th Convention</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">15-17 June 2024</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Madrid, Spain</style></pub-location><pages><style face="normal" font="default" size="100%">Express paper 196</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Creating an immersive scene relies on detailed spatial sound. Traditional methods, using probe points for impulse responses, need lots of storage. Meanwhile, geometry-based simulations struggle with complex sound effects. Now, neural-based methods are improving accuracy and slashing storage needs. In our study, we propose a hybrid time and time-frequency domain strategy to model the time series of Ambisonic acoustic fields. The networks excels in generating high-fidelity time-domain impulse responses at arbitrary source-recceiver positions by learning a continuous representation of the acoustic field. Our experimental results demonstrate that the proposed model outperforms baseline methods in various aspects of sound representation and rendering for different source-receiver positions.</style></abstract></record></records></xml>