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

Emotional Expression01:26

Emotional Expression

956
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
956
Labeling Emotion01:20

Labeling Emotion

604
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
604
Motional Emf01:22

Motional Emf

4.0K
Magnetic flux depends on three factors: the strength of the magnetic field, the area through which the field lines pass, and the field's orientation with respect to the surface area. If any of these quantities vary, a corresponding variation in magnetic flux occurs. If the area through which the magnetic field lines are passing changes, then the magnetic flux also changes. This change in the area can be of two types: the flux through the rectangular loop increases as it moves into the...
4.0K
Non-Verbal Cues01:29

Non-Verbal Cues

286
Non-verbal communication extends beyond gestures and facial expressions to include vocal elements known as paralanguage. Paralanguage consists of non-verbal vocal cues such as pitch, loudness, speech rate, pauses, and non-verbal vocalizations like laughter, sighs, and moans. These elements not only accompany speech but also provide critical emotional and contextual information.The Role of Paralanguage in CommunicationParalanguage adds depth to spoken language by conveying emotions and...
286
Empathy02:34

Empathy

10.0K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
10.0K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.7K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning.

Sensors (Basel, Switzerland)·2025
Same author

Speech recognition shortens the recording time of prehospital medical documentation.

The American journal of emergency medicine·2021
Same author

Improving Eye Motion Sequence Recognition Using Electrooculography Based on Context-Dependent HMM.

Computational intelligence and neuroscience·2016
Same author

Development of a compact wireless Laplacian electrode module for electromyograms and its human interface applications.

Sensors (Basel, Switzerland)·2013
Same author

Analysis of prosody in finger braille using electromyography.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same author

Sentence alignment using feed forward neural network.

International journal of neural systems·2007
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

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

2.0K

Utterance-Style-Dependent Speaker Verification Using Emotional Embedding with Pretrained Models.

Long Pham Hoang1, Hibiki Takayama1, Masafumi Nishida1

  • 1Department of Computer Science, Faculty of Informatics, Shizuoka University, Hamamatsu Campus, 3-5-1 Johoku, Chuo-ku, Hamamatsu 432-8011, Japan.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces emotion-dependent speaker verification, enhancing security against spoofing without extra models. Sadness-based authentication proved most effective, offering a robust alternative to traditional methods.

Keywords:
biometric authenticationemotion embeddingsemotion-dependent authenticationscore fusionspeaker verificationuser usability

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.4K

Related Experiment Videos

Last Updated: Jan 18, 2026

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

2.0K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
05:51

Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury

Published on: May 15, 2016

9.4K

Area of Science:

  • Biometrics and Speech Processing
  • Human-Computer Interaction
  • Cybersecurity

Background:

  • Speaker verification systems are convenient but vulnerable to spoofing attacks.
  • Current systems often require separate models for spoofed speech detection.
  • Integrating speaker and emotional characteristics offers a novel approach to enhance robustness.

Purpose of the Study:

  • To develop an emotion-dependent speaker verification system.
  • To improve robustness against spoofed speech without additional classification models.
  • To evaluate the usability and effectiveness of emotion-dependent authentication.

Main Methods:

  • Integrated speaker and emotional speech characteristics for verification.
  • Compared acoustic characteristics of emotions using pretrained models.
  • Conducted user evaluation experiments with various emotions (anger, joy, sadness, neutral).

Main Results:

  • Achieved an average equal error rate of 1.13% for speaker verification and 17.7% for anti-spoofing.
  • Emotion-dependent authentication showed reduced cognitive stress after initial sessions.
  • Sadness-based emotion proved most effective, with low error rates and minimal user strain.

Conclusions:

  • Emotion-dependent speaker verification enhances robustness against spoofing.
  • Sadness is a viable and effective emotion for speaker verification.
  • Well-designed emotion-dependent authentication offers a practical and secure solution.