Overview

Room acoustics examines how a space changes sound, supporting applications such as speech enhancement, source localization, room design, and immersive audio. Researchers model these effects with image-source and wave-based simulations, estimate room impulse responses from recordings, and use signal processing and machine learning to predict acoustic properties or generate responses. Current work combines physical constraints with neural methods to improve realism, handle sparse measurements, and reduce simulation cost. A central challenge is balancing computational efficiency with accurate results that generalize from simulations and controlled benchmarks to real rooms and deployment conditions.

Latest papers

CardsList

19 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Point2Acoustic: Efficient Room Acoustic Parameter Estimation from 3D Geometry and Material Properties

    Oct 19, 2026Xun Gao, Raksha Ramakrishna, Tommy Falk +1Room AcousticsSpatial Audio

  2. Joint Estimation of Common-Slope Decay Rates and Spatial Amplitudes Using Parameterized Nonnegative Matrix Factorization

    Oct 4, 2026Jeremy B. Bai, Filip Elvander, Sebastian J. SchlechtNon-Negative Matrix FactorizationExpectation-Maximization

  3. Estimation of Room Impulse Responses from Handclaps

    Sep 24, 2026Shih-Yu Lai, Kyung Yun Lee, Nils Meyer-Kahlen +3Room AcousticsSystem Identification

  4. Ambisonics Encoding of Room Impulse Responses using a Device-Agnostic Diffusion Model

    Aug 14, 2026Eloi Moliner, Christoph Hold, Juan Azcarreta Ortiz +5Spatial AudioRoom Acoustics

  5. PathRIR: Physics-Guided Acoustic Path Selection and Late-Tail Compensation for Fast Room Impulse Response Simulation

    Jul 25, 2026Shaoheng Xu, Chunyi Sun, Jihui Zhang +3Physics-Informed MLSpatial Audio

  6. What does the model actually see? Evaluation protocols and input availability in data-driven prediction of room acoustic parameters

    Jul 16, 2026Ak\in OktavBenchmark DesignRoom Acoustics

  7. Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score

    Jul 1, 2026Yang Xiang, Philipp Götz, Emanuël A. P. Habets +3Audio Representation LearningRepresentation Learning

  8. Improving multichannel speech enhancement through accurate room-acoustic simulations

    Jun 30, 2026Georg Götz, Alessia Milo, Steinar Guðjónsson +3Synthetic Data AugmentationSpeech Enhancement

  9. A DDSP Framework for Adaptive Room Equalization

    Jun 21, 2026F. Marcos-Macias, M. P. Daza-Llin, M. Camara +1Room Acoustics

  10. EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction

    May 27, 2026Chong Jing, Zitong Lan, Junan Zhang +1Multi-View LearningFew-Shot Learning

  11. Dependence on Early and Late Reverberation of Single-Channel Speaker Distance Estimation

    May 8, 2026Michael Neri, Archontis Politis, Tuomas VirtanenSpeech ProcessingRoom Acoustics

  12. Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation

    May 1, 2026Anton Ratnarajah, Mehmet Ergezer, Arun Nair +1Synthetic Data AugmentationSpeech Processing

  13. MMAudioReverbs: Video-Guided Acoustic Modeling for Dereverberation and Room Impulse Response Estimation

    May 1, 2026Akira Takahashi, Ryosuke Sawata, Shusuke Takahashi +1Room AcousticsSpeech Dereverberation

  14. Full band denoising of room impulse response in the wavelet domain with dictionary learning

    Apr 29, 2026Théophile Dupré, Romain Couderc, Miguel Moleron +3Wavelet MethodsRoom Acoustics

  15. Materialistic RIR: Material Conditioned Realistic RIR Generation

    Apr 22, 2026Mahnoor Fatima Saad, Sagnik Majumder, Kristen Grauman +1Generative ModelingConditional Generative Modeling

  16. A state-space representation of the boundary integral equation for room acoustic modelling

    Apr 18, 2026Randall Ali, Thomas Dietzen, Matteo Scerbo +2Room AcousticsState Space Models