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

Classification of Signals01:30

Classification of Signals

In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an organic...
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
Difference from Background: Limit of Detection01:05

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...

You might also read

Related Articles

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

Sort by
Same author

Notch1 regulates Orai1 and Orai3 expression in breast cancer cells.

Scientific reports·2025
Same author

Orai1 plays a critical role in Orai3 synthesis and stability in luminal breast cancer cells.

Cell calcium·2025
Same author

Enhancing Road Safety with AI-Powered System for Effective Detection and Localization of Emergency Vehicles by Sound.

Sensors (Basel, Switzerland)·2025
Same author

Filamin A C-terminal fragment modulates Orai1 expression by inhibition of protein degradation.

American journal of physiology. Cell physiology·2025
Same author

Feedback modulation of Orai1α and Orai1β protein content mediated by STIM proteins.

Journal of cellular physiology·2024
Same author

Extended Synaptotagmins 1 and 2 Are Required for Store-Operated Calcium Entry, Cell Migration and Viability in Breast Cancer Cells.

Cancers·2024

Related Experiment Video

Updated: Jun 14, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Two-microphone separation of speech mixtures based on interclass variance maximization.

Maximo Cobos1, Jose J Lopez

  • 1Institute of Telecommunications and Multimedia Applications, Universidad Politecnica de Valencia, Valencia 46022, Spain. mcobos@iteam.upv.es

The Journal of the Acoustical Society of America
|March 25, 2010
PubMed
Summary

This study introduces a novel two-microphone speech separation method using direction-of-arrival (DOA) grouping. The approach effectively separates multiple sound sources in challenging acoustic environments with minimal computational expense.

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Jun 14, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Area of Science:

  • Acoustic Signal Processing
  • Computational Auditory Scene Analysis
  • Speech Signal Processing

Background:

  • Sparse methods are crucial for speech separation, especially in underdetermined scenarios with more sources than sensors.
  • Existing methods face challenges in complex acoustic environments.

Purpose of the Study:

  • To present a novel two-microphone speech separation algorithm.
  • To improve the separation of multiple sound sources in realistic acoustic scenarios.

Main Methods:

  • A two-microphone separation method is proposed.
  • The algorithm groups time-frequency points based on similar direction-of-arrival (DOA) using multi-level thresholding.
  • Thresholds are optimized by maximizing interclass variance of DOA estimates.

Main Results:

  • The method successfully identifies angular sections likely containing speakers.
  • Time-frequency masks are generated to separate sound sources.
  • The approach demonstrates effectiveness in realistic mixing situations.

Conclusions:

  • The proposed method offers a computationally efficient solution for speech separation.
  • It effectively separates multiple sound sources using DOA estimation and time-frequency masking.
  • The approach is validated through experiments in various acoustic conditions.