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

Properties of the z-Transform I01:17

Properties of the z-Transform I

273
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
273
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

340
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
340
Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

458
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
458
Signal and System01:26

Signal and System

946
A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional...
946
Parseval's Theorem01:18

Parseval's Theorem

614
Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which...
614
SFG Algebra01:16

SFG Algebra

163
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
163

You might also read

Related Articles

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

Sort by
Same author

Objective and subjective measures of sleep quality in patients with end stage kidney disease: A cross-sectional study.

Sleep medicine·2026
Same author

Unprecedented Polymicrobial Bacteremia With Nine Microorganisms in a Critically Ill 95% Burn Patient.

Cureus·2025
Same author

Within-Person Changes in Daily Ovarian Hormone Levels Influence Genetic Effects on Emotional Eating in Women.

The International journal of eating disorders·2025
Same author

Measles resurgence in the United States: epidemiological and clinical observations from 2025.

International journal of surgery (London, England)·2025
Same author

Amusement Park Rides and Cardiac Devices: Heart Dropper or Device Stopper?

Journal of cardiovascular electrophysiology·2025
Same author

Dynamic Anterior Shoulder Stabilization Using a Long Head of the Biceps Transfer and Bankart Repair Improves Clinical Outcomes in Patients With Subcritical Bone Loss: A Systematic Review.

Arthroscopy, sports medicine, and rehabilitation·2025
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: Aug 27, 2025

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K

An integrated approach for teaching speech spectrogram analysis to engineering students.

Alexander Johnson1

  • 1Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, California 90095, USA.

The Journal of the Acoustical Society of America
|October 1, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a new framework for teaching spectrogram analysis, crucial for understanding speech acoustics. The methods improve interpretation skills for engineering students lacking prior phonetic backgrounds.

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

512
Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
07:21

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Published on: June 27, 2025

97

Related Experiment Videos

Last Updated: Aug 27, 2025

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K
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

512
Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
07:21

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Published on: June 27, 2025

97

Area of Science:

  • Speech Acoustics
  • Phonetics
  • Engineering Education

Background:

  • Spectrogram analysis is essential for understanding the relationship between speech production and acoustics.
  • Engineering students often find spectrogram interpretation challenging due to their mathematical training.
  • Acoustic phonetics background is typically lacking in engineering students.

Purpose of the Study:

  • To present a structured and inclusive framework for teaching spectrogram reading.
  • To address the difficulties engineering students face in interpreting spectrograms.
  • To share findings from implementing these teaching methods.

Main Methods:

  • Development of a structured teaching framework for spectrogram reading.
  • Implementation of the framework in undergraduate and graduate engineering courses.
  • Evaluation of the framework's effectiveness with engineering students.

Main Results:

  • The structured framework was successfully implemented at UCLA.
  • Findings indicate improved spectrogram interpretation skills among engineering students.
  • The teaching methods proved effective for students with no prior acoustic phonetics background.

Conclusions:

  • The developed framework offers an effective approach to teaching spectrogram analysis to engineering students.
  • Inclusive teaching methods can bridge the gap between engineering principles and acoustic phonetics.
  • This framework enhances students' ability to link speech articulator movements to acoustic output.