Insights into the Incorporation of Signal Information in Binaural Signal Matching with Wearable Microphone Arrays
<|reference_start|>Insights into the Incorporation of Signal Information in Binaural Signal Matching with Wearable Microphone Arrays: The increasing popularity of spatial audio in applications such as teleconferencing, entertainment, and virtual reality has led to the recent developments of binaural reproduction methods. However, only a few of these methods are well-suited for wearable and mobile arrays, which typically consist of a small number of microphones. One such method is binaural signal matching (BSM), which has been shown to produce high-quality binaural signals for wearable arrays. However, BSM may be suboptimal in cases of high direct-to-reverberant ratio (DRR) as it is based on the diffuse sound field assumption. To overcome this limitation, previous studies incorporated sound-field models other than diffuse. However, this approach was not studied comprehensively. This paper extensively investigates two BSM-based methods designed for high DRR scenarios. The methods incorporate a sound field model composed of direct and reverberant components.The methods are investigated both mathematically and using simulations, finally validated by a listening test. The results show that the proposed methods can significantly improve the performance of BSM , in particular in the direction of the source, while presenting only a negligible degradation in other directions. Furthermore, when source direction estimation is inaccurate, performance of these methods degrade to equal that of the BSM, presenting a desired robustness quality.<|reference_end|>
@article{berger2024insights,
    title={Insights into the Incorporation of Signal Information in Binaural Signal
  Matching with Wearable Microphone Arrays},
    author={Ami Berger, Vladimir Tourbabin, Jacob Donley, Zamir Ben-Hur and Boaz
  Rafaely},
    journal={arXiv preprint arXiv:2409.11731},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.11731},
    primaryClass={eess.AS cs.SD}
}