Related Experiment Video
Updated: May 30, 2026

15:06
Measurement of Scattering Nonlinearities from a Single Plasmonic Nanoparticle
Published on: January 3, 2016
Narrow noise band detection in a complex masker: masking level difference due to harmonicity
Mickael L D Deroche1, John F Culling
1Cochlear Implants and Psychophysics Lab, Department of Hearing & Speech Sciences, University of Maryland, College Park, MD 20742, USA. mderoche@hesp.umd.edu
Hearing Research
|August 9, 2011
Summary
Listeners detect noise masked by harmonic tones better than inharmonic ones. This "masking level difference due to harmonicity" (HMLD) suggests harmonic cancellation, not envelope modulation, explains the effect.
Area of Science:
- Auditory perception
- Psychoacoustics
- Signal processing
Background:
- Complex tones are composed of multiple frequency components called partials.
- The harmonicity of these partials influences how listeners perceive sounds.
- Previous theories suggested envelope modulation from unresolved partials caused masking level differences.
Purpose of the Study:
- To investigate the role of inharmonicity in auditory masking.
- To determine the underlying mechanism of the masking level difference due to harmonicity (HMLD).
- To explore the influence of partial mistuning on sound detection.
Main Methods:
- Listeners detected a narrow band of noise masked by random-phase complex tones.
- Inharmonicity was introduced by mistuning partial frequencies from a fundamental frequency (F0).
- Masked detection thresholds were measured across different center frequencies and mistuning extents.
Main Results:
- Masked detection thresholds were lower for harmonic maskers compared to inharmonic ones (0.5-2.5 kHz).
- The HMLD was present for resolved partials and decreased with increasing center frequency.
- Significant disruption of HMLD occurred with mistunings beyond 12% of F0, while smaller mistunings yielded similar thresholds to harmonic maskers.
Conclusions:
- The findings do not support envelope modulation by unresolved partials as the primary cause of HMLD.
- Neighboring partials' harmonicity significantly influenced HMLD more than distant ones.
- A mechanism of harmonic cancellation provides the best explanation for the observed HMLDs.
Related Concept Videos
Difference from Background: Limit of Detection
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
Harmonic Mean
The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
Bandpass Sampling
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. The spectrum...
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
Masking and Demasking Agents
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on the metal...
Parallel Resonance
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
Aliasing
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 signal...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
