Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A time domain binaural model based on spatial feature extraction for the head-related transfer function

Z Wu1, F H Chan, F K Lam

  • 1Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong.

The Journal of the Acoustical Society of America
|February 12, 1998
PubMed
Summary

This study models head-related impulse responses (HRIRs) using Karhunen-Loeve expansion for efficient virtual acoustic space (VAR) simulations. The developed model accurately reproduces measured HRIRs, enabling real-time auditory neuronal response studies.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Histoplasmosis in man.

Hawaii medical journal·2010
Same author

Adaptive thresholding by variational method.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials.

IEEE transactions on bio-medical engineering·2006
Same author

Image analysis system for assessment of immunohistochemically stained proliferative marker (MIB-1) in oesophageal squamous cell carcinoma.

Computer methods and programs in biomedicine·2002
Same author

Adaptive filtering of evoked potentials with radial-basis-function neural network prefilter.

IEEE transactions on bio-medical engineering·2002
Same author

Fuzzy EMG classification for prosthesis control.

IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2000

Area of Science:

  • Acoustics
  • Computational Neuroscience
  • Signal Processing

Background:

  • Head-related transfer functions (HRTFs) are complex-valued, but real-valued head-related impulse responses (HRIRs) can represent them.
  • Interaural time and level cues are crucial for binaural hearing and HRIR normalization.
  • Accurate HRIR modeling is essential for creating realistic virtual acoustic environments.

Purpose of the Study:

  • To develop an efficient computational model for head-related impulse responses (HRIRs).
  • To enable real-time simulation of free-field auditory signals for studying neuronal responses.
  • To validate the model's accuracy against measured HRIRs in a live animal model.

Main Methods:

  • Representing complex-valued HRTFs using real-valued HRIRs.

Related Experiment Videos

  • Extracting interaural time and level cues for HRIR normalization and binaural model derivation.
  • Applying Karhunen-Loeve expansion to model normalized HRIRs in a low-dimensional subspace.
  • Utilizing linear interpolation for generating modeled binaural HRIRs.

    • Main Results:

    • Modeled HRIRs closely matched measured HRIRs from a live cat, with typical mean-square errors of 1% and cross-correlation coefficients of 0.99.
    • The model demonstrated high accuracy in representing individual HRIRs.
    • Real-valued operations and linear interpolation facilitated efficient real-time computation.

    Conclusions:

    • The Karhunen-Loeve expansion-based HRIR model provides an accurate and computationally efficient method for virtual acoustic simulations.
    • This approach allows for the study of neuronal responses within simulated virtual acoustic spaces.
    • The model's effectiveness was validated in a biological system, paving the way for advanced auditory research.