Headphone-Delivered Three Dimensional Sound in NPSNET.

Abstract

The current MIDI-based sound system for the distributed virtual environment of NPSNET can only generate aural cues via loudspeaker delivery in two dimensions. To further increase the sense of immersion experienced in NPSNET, a sound system is needed which can generate aural cues via headphone delivery in three dimensions. The approach taken was to explore the different feasible methods of rendering and presenting headphone-delivered spatial sound. One alternative was to implement a sound server capable of the real-time rendering of three dimensional sounds. Another alternative was to create a library of pre-recorded positioned sound files. In software, new algorithms were developed to integrate the sound server into NPSNET and to provide a table lookup capability for NPSNET's new spatial sound file library. The result of this research is a sound server capable of rendering up to twenty-four simultaneous sounds for a single participant in NPSNET using off-the-shelf sound equipment and computer software. This sound server was tested during numerous demonstrations of NPSNET. This research provided another method of increasing a participant's level of immersion in NPSNET through the use of aural cues.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1996
Accession Number
ADA318844

Entities

People

  • Lloyd J. Biggs

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustics
  • Aircrafts
  • Communication Channels
  • Computer Graphics
  • Computer Programming
  • Computer Programs
  • Computers
  • Doppler Effect
  • Ear
  • Electronic Mail
  • Human Factors Engineering
  • Human-Machine Interfaces
  • Network Protocols
  • Operating Systems
  • Psychology
  • Three Dimensional
  • Virtual Reality

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Parallel and Distributed Computing.
  • Speech Processing/Speech Recognition.