HRIR-Former: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer

arXiv:2603.27998 · eess.AS, cs.LG · Submitted 2026-03-30 · Read on arXiv

eess.AS, cs.LG

Submitted: 2026-03-30

Updated: 2026-09-26

Terminology

• Transformer — 17× in this paper · explained in 2 episodes
• Personalization — 12× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Cosine Distance — 3× in this paper
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Normalized Mean Squared Error — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Listener Acoustic Personalization — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Spatial Upsampling of Head-Related Transfer Functions Using a Physics-Informed Neural Network
• Head-Related Transfer Function Interpolation with a Spherical CNN

Related papers

• X-VC: Zero-shot Streaming Voice Conversion in Codec Space
• Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers
• Anonymization, Not Elimination: Utility-Preserved Speech Anonymization
• Towards Audio Token Compression in Large Audio Language Models
• WaveScat: Wavelet Scattering Front-Ends with Self-Supervised Features for Speech Deepfake Detection
• ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions