BINAURAL SOUND RECORDING TECHNIQUES SOFTWARE
BINAURAL SOUND RECORDING TECHNIQUES LICENSE

Some important examples include capture and subsequent reproduction of musical performances or social events, as well as real-time video conferencing with immersive spatial audio.

Ideally, the sound scene reproduced at another time and/or place should be perceptually indistinguishable from the real scene. 1 Introductionīinaural reproduction of acoustic scenes refers to the playback of sound at the listener’s ears in a way that recreates a real-world listening experience of the scene.

BINAURAL SOUND RECORDING TECHNIQUES LICENSE

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The review concludes by highlighting directions for future research. Finally, specific methods for signal transformations such as rotation, translation and enhancement, enabling additional flexibility in reproduction and improvement in the quality of the binaural signal, are presented. Then, emerging machine- and deep-learning approaches, which take a further step towards flexibility in design, are described. Beamforming and parametric-based processing afford more flexible designs and shift the focus to processing and modeling of the sound field. This includes topics from simple binaural recording to Ambisonics and perceptually motivated approaches, which focus on careful array configuration and design. First, each block is briefly presented, and then, a comprehensive review of the processing block is provided. It is composed of five main blocks, namely: the acoustic scene, recording, processing, reproduction, and perception and evaluation.

This framework helps to understand the collective progress of the research community, and to identify gaps for future research. This review also proposes a generalized framework for describing spatial audio signal processing for the binaural reproduction of recorded sound. Following this emerging activity, this paper aims to provide a scientific review of recent developments and an outlook for future challenges. Among these new developments, processing spatial audio signals recorded in real environments using microphone arrays plays an important role. In particular, due to the popularity of headphones and earphones, many spatial audio signal processing methods have dealt with binaural reproduction based on headphone listening. This renewed interest has led to the investment of increasing efforts in developing signal processing algorithms for spatial audio, both for capture and for playback.

BINAURAL SOUND RECORDING TECHNIQUES SOFTWARE

* Corresponding author: audio has been studied for several decades, but has seen much renewed interest recently due to advances in both software and hardware for capture and playback, and the emergence of applications such as virtual reality and augmented reality. International Audio Laboratories Erlangen (a joint institution of the Friedrich Alexander University Erlangen-Nürnberg (FAU) and Fraunhofer IIS), 91058 Erlangen, GermanyĪpplied Psychoacoustics Laboratory (APL), University of Huddersfield, Huddersfield HD1 3DH, United KingdomĪudio and Acoustics Research Group, Microsoft Research, Redmond, WA 98052, USAĪudio and Acoustic Signal Processing Group, The Australian National University, Canberra, Australian Capital Territory 2601, Australia Reality Labs Research, Meta, Redmond, WA 98052, USA School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel Boaz Rafaely 1 *, Vladimir Tourbabin 2, Emanuel Habets 3, Zamir Ben-Hur 2, Hyunkook Lee 4, Hannes Gamper 5, Lior Arbel 1, Lachlan Birnie 6, Thushara Abhayapala 6 and Prasanga Samarasinghe 6

Binaural sound recording techniques