# Ambisonics Encoder for Wearable Array with Improved Binaural Reproduction

arXiv: https://arxiv.org/abs/2507.04108 · HTML: https://mlsanity.com/paper/2507.04108/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jul 2025.

## Built on by (most cited first, 1 of 1)

- [Flow-HOA: Generative Joint Optimization for Ambisonics Encoding via Flow Matching](https://mlsanity.com/paper/2606.04570/) (2026)

## Abstract (arXiv)

Ambisonics Signal Matching (ASM) is a recently proposed signal-independent approach to encoding Ambisonic signal from wearable microphone arrays, enabling efficient and standardized spatial sound reproduction. However, reproduction accuracy is currently limited due to the non-ideal layout of the microphones. This research introduces an enhanced ASM encoder that reformulates the loss function by integrating a Binaural Signal Matching (BSM) term into the optimization framework. The aim of this reformulation is to improve the accuracy of binaural reproduction when integrating the Ambisonic signal with Head-Related Transfer Functions (HRTFs), making the encoded Ambisonic signal better suited for binaural reproduction. This paper first presents the mathematical formulation developed to align the ASM and BSM objectives in a single loss function, followed by a simulation study with a simulated microphone array mounted on a rigid sphere representing a head-mounted wearable array. The analysis shows that improved binaural reproduction with the encoded Ambisonic signal can be achieved using this joint ASM-BSM optimization, thereby enabling higher-quality binaural playback for virtual and augmented reality applications based on Ambisonics.