tailieunhanh - Báo cáo hóa học: " Research Article A Sparsity-Based Approach to 3D Binaural Sound Synthesis Using Time-Frequency Array Processing"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Sparsity-Based Approach to 3D Binaural Sound Synthesis Using Time-Frequency Array Processing | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 415840 13 pages doi 2010 415840 Research Article A Sparsity-Based Approach to 3D Binaural Sound Synthesis Using Time-Frequency Array Processing Maximo Cobos 1 Jose J. Lopez EURASIP Member 1 and Sascha Spors EURASIP Member 2 1Institute of Telecommunications and Multimedia Applications Universidad Politecnica de Valencia 46022 Valencia Spain 2Deutsche Telekom Laboratories Technische Universitat Berlin 10578 Berlin Germany Correspondence should be addressed to Maximo Cobos mcobos@ Received 2 March 2010 Revised 21 June 2010 Accepted 7 September 2010 Academic Editor Augusto Sarti Copyright 2010 Maximo Cobos et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. 1. Introduction Human hearing plays a major role in the way our environment is perceived. Generally sound is perceived in all three dimensions .