Related Experiment Video
Updated: Feb 28, 2026
07:14
A Method to Study Adaptation to Left-Right Reversed Audition
Published on: October 29, 2018
6.9K
Spectral equalization in binaural signals represented by order-truncated spherical harmonics
Zamir Ben-Hur1, Fabian Brinkmann2, Jonathan Sheaffer1
1Department of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
The Journal of the Acoustical Society of America
|June 17, 2017
Summary
This study addresses spectral roll-off in order-limited binaural signals synthesized from spherical microphone arrays. A novel digital filter effectively restores high-frequency content and improves timbre perception in these signals.
Area of Science:
- Acoustics
- Signal Processing
- Psychoacoustics
Background:
- Binaural signal synthesis from spherical microphone arrays can suffer from limited spatial resolution due to order limitation.
- This order limitation negatively impacts perceived sound quality, causing issues with source localization, externalization, and high-frequency spectral content, affecting timbre.
Purpose of the Study:
- To mathematically and numerically investigate the causes of spectral roll-off in order-limited binaural signals.
- To introduce and evaluate a digital filter designed to equalize the frequency spectrum of low spatial order signals.
Main Methods:
- Mathematical analysis and numerical investigation of spectral roll-off mechanisms.
- Development and implementation of a digital equalization filter.
- Conducting a comprehensive listening test to assess perceptual effects.
Main Results:
- The study mathematically and numerically describes the causes of spectral roll-off in order-limited binaural signals.
- A digital filter was developed to equalize the frequency spectrum of these signals.
- Listening tests confirmed the filter's effectiveness in restoring timbre and improving spatial perception.
Conclusions:
- The proposed digital filter successfully restores the timbral composition of order-truncated binaural signals.
- The filter not only conserves but also enhances certain spatial properties of the reproduced sound.
- This equalization technique offers a significant improvement for binaural signal synthesis from spherical microphone arrays.
More Related Videos
Related Concept Videos
01:21Properties of Fourier series II
660
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
A function f(t) is...
660
01:10Reconstruction of Signal using Interpolation
787
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
787
01:02¹H NMR: Interpreting Distorted and Overlapping Signals
1.6K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.6K
01:18Aliasing
717
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
717
01:17Bandpass Sampling
593
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
593
01:22Upsampling
673
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
673