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 Concept Videos

Harmonic Mean01:09

Harmonic Mean

3.2K
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...
3.2K
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

248
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
248
Auditory Pathway01:15

Auditory Pathway

5.5K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
5.5K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.1K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.1K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

115
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
115
Deconvolution01:20

Deconvolution

197
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
197

You might also read

Related Articles

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

Sort by
Same author

Spatial grouping as a method to improve personalized head-related transfer function prediction.

JASA express letters·2025
Same author

Tinnitus and treatment-resistant depression.

Progress in brain research·2023
Same author

Clinical standardization for the detection of hemispheric dominance for steady-state auditory evoked fields in normal hearing.

Journal of the Chinese Medical Association : JCMA·2023
Same author

Active acoustic scene monitoring through spectro-temporal modulation filtering for intruder detection.

The Journal of the Acoustical Society of America·2022
Same author

Pros and cons in tinnitus brain: Enhancement of global connectivity for alpha and delta waves.

Progress in neuro-psychopharmacology & biological psychiatry·2021
Same author

Design and In Vivo Verification of a CMOS Bone-Guided Cochlear Implant Microsystem.

IEEE transactions on bio-medical engineering·2019

Related Experiment Video

Updated: Jul 24, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K

Harmonic-aware tri-path convolution recurrent network for singing voice separation.

Yih-Liang Shen1, Ya-Ching Lai1, Tai-Shih Chi1

  • 1Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu City, Taiwanyihliang.ee06@nycu.edu.tw; r7.ee08@nycu.edu.tw; tschi@nycu.edu.tw.

JASA Express Letters
|July 5, 2023
PubMed
Summary
This summary is machine-generated.

A new harmonic-aware tri-path convolution recurrent network model enhances sound separation by adding an inter-band recurrent neural network (RNN). This advanced model improves upon existing dual-path methods, boosting performance on public datasets.

More Related Videos

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.5K
fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

7.3K

Related Experiment Videos

Last Updated: Jul 24, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.5K
Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
09:58

Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp

Published on: February 3, 2014

8.5K
fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals
11:15

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

7.3K

Area of Science:

  • Signal Processing
  • Machine Learning
  • Auditory Perception

Background:

  • Auditory streaming relies on temporal coherence and spectral regularity.
  • Existing sound separation models like Conv-tasnet and DPCRN utilize these cues.
  • DPCRN analyzes temporal and spectral patterns using dual recurrent neural networks.

Purpose of the Study:

  • To propose an enhanced sound separation model by expanding the DPCRN architecture.
  • To investigate the impact of an inter-band recurrent neural network on separation performance.

Main Methods:

  • Developed a harmonic-aware tri-path convolution recurrent network model.
  • Incorporated an inter-band recurrent neural network into the DPCRN framework.
  • Evaluated the model on public datasets for sound separation tasks.

Main Results:

  • The addition of the inter-band RNN significantly improved the separation performance of the DPCRN model.
  • The harmonic-aware tri-path model demonstrated enhanced capabilities in sound separation.
  • Performance gains were validated on established public datasets.

Conclusions:

  • The proposed harmonic-aware tri-path convolution recurrent network model offers superior sound separation.
  • Integrating an inter-band RNN is an effective strategy for boosting DPCRN performance.
  • This research contributes to advancements in auditory signal processing and machine learning for sound separation.