Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Binaural rendering in MPEG surround
EURASIP Journal on Advances in Signal Processing
A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Spatial Audio Processing: MPEG Surround and Other Applications
Spatial Audio Processing: MPEG Surround and Other Applications
Blind separation of speech mixtures via time-frequency masking
IEEE Transactions on Signal Processing
3D Virtual worlds and the metaverse: Current status and future possibilities
ACM Computing Surveys (CSUR)
Capturing and reproducing spatial audio based on a circular microphone array
Journal of Electrical and Computer Engineering
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Localization of sounds in physical space plays a very important role in multiple audio-related disciplines, such as music, telecommunications, and audiovisual productions. Binaural recording is the most commonly used method to provide an immersive sound experience by means of headphone reproduction. However, it requires a very specific recording setup using high-fidelity microphones mounted in a dummy head. In this paper, we present a novel processing framework for binaural sound recording and reproduction that avoids the use of dummy heads, which is specially suitable for immersive teleconferencing applications. The method is based on a time-frequency analysis of the spatial properties of the sound picked up by a simple tetrahedral microphone array, assuming source sparseness. The experiments carried out using simulations and a real-time prototype confirm the validity of the proposed approach.