#spatial-audio News & Analysis

3 articles tagged with #spatial-audio. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 106/10

🧠

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Researchers introduce Spatial-Omni, a method that integrates First-Order Ambisonics (FOA) spatial audio into multimodal large language models, enabling them to understand sound localization and spatial scene reasoning. The approach includes new datasets and benchmarks with 400K audio clips and 2.1M QA pairs, demonstrating improved performance on spatial audio tasks while maintaining general audio understanding.

AINeutralarXiv – CS AI · Jun 25/10

🧠

HRTFformer: A Spatially-Aware Transformer for Individual HRTF Upsampling in Immersive Audio Rendering

Researchers introduce HRTFformer, a transformer-based neural network that improves the spatial upsampling of Head-Related Transfer Functions (HRTFs) used in immersive audio applications. By leveraging attention mechanisms and spherical harmonic domain processing, the model reconstructs high-fidelity spatial audio from sparse measurements with improved accuracy and realistic spatial coherence.

AINeutralarXiv – CS AI · May 286/10

🧠

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

Researchers introduce EigeNet, a geometry-informed deep learning framework for predicting Room Impulse Response (RIR) in spatial audio from limited observations. The model combines transformer architecture with acoustic ray tracing principles to achieve state-of-the-art performance in few-shot novel view RIR prediction and demonstrates strong sim-to-real generalization capabilities.