Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

943
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
943
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
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...
3.4K
Design Example01:23

Design Example

531
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
531
Perception of Sound Waves01:01

Perception of Sound Waves

5.4K
The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
5.4K
Auditory Perception01:17

Auditory Perception

1.0K
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
1.0K
Signal and System01:26

Signal and System

1.6K
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...
1.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Facile fabrication of iron-sulfur co-doped porous carbon based on the hyper-crosslinking technique for efficient electromagnetic wave absorption.

Nanoscale·2026
Same author

Reaction mechanisms and microstructural development of MSWI fly ash in geopolymers enhanced by mechanochemical activation.

Waste management (New York, N.Y.)·2026
Same author

Differences in cortisol levels between preterm and term infants: a systematic review and meta-analysis combined with Mendelian randomization study.

Frontiers in pediatrics·2026
Same author

From conventional to biosensor-based detection of <i>Cryptosporidium</i> spp. and <i>Toxoplasma gondii</i> in food and water: Implications for food and water safety.

Food and waterborne parasitology·2026
Same author

Genistein Pretreatment Attenuates Ovalbumin-Induced Food Allergy in Mice with Intestinal Barrier Preservation and Modulation of Gut Microbiota and Metabolites.

Foods (Basel, Switzerland)·2026
Same author

Global burden, projections, and causal factors of maternal sepsis and other maternal infections: A comprehensive epidemiological and mendelian randomization study.

PLoS neglected tropical diseases·2026
Same journal

An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control.

IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications·2025
Same journal

Real-time Continuous Blood Pressure Estimation with Contact-free Bedseismogram.

IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications·2024
Same journal

<i>Whispering</i>: Joint Service Offloading and Computation Reuse in Cloud-Edge Networks.

IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications·2021
查看所有相关文章

相关实验视频

Updated: Jan 18, 2026

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

814

利用物理存在感应来保护语音助理系统的安全.

Bang Tran1, Shenhui Pan1, Xiaohui Liang1

  • 1Department of Computer Science, University of Massachusetts Boston.

IEEE International Conference on Communications : [proceedings]. IEEE International Conference on Communications
|September 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了语音助理系统 (VAS) 的防御系统,以检测和防止恶意语音重播和注入攻击. 该系统使用Mel-Cepstral频率系数 (MFCC) 和深度学习,在智能家居场景中实现76.4%-89.1%的检测精度.

更多相关视频

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

936
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

相关实验视频

Last Updated: Jan 18, 2026

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

814
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

936
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

科学领域:

  • 网络安全 网络安全
  • 人工智能的人工智能
  • 智能家居技术 智能家居技术

背景情况:

  • 语音助理系统 (VAS) 提供便利性,但易受语音重播和注入攻击等安全威胁的影响.
  • 攻击者可以利用附近的受损扬声器远程操纵智能家居中的VAS设备.
  • 现有的防御可能需要额外的硬件或用户努力,限制实际应用.

研究的目的:

  • 为VAS提供一个新的防御系统,直接集成到设备中.
  • 在没有额外的硬件或用户干预的情况下,保护VAS免受语音重播和注入攻击.
  • 为了利用语音和无线数据之间的相关性进行攻击检测.

主要方法:

  • 从VAS设备连续收集语音和无线数据.
  • 从两个数据流中提取Mel-Cepstral频率系数 (MFCC) 的特征.
  • 在时间序列数据上训练的深度学习模型的应用,以区分用户命令和恶意输入.

主要成果:

  • 拟议的系统在现实智能家居环境中成功检测了语音重播和注入攻击.
  • 在各种测试场景中,检测概率从76.4%到89.1%不等.
  • 该系统有效地利用了由用户活动影响的语音和无线数据之间的相关性.

结论:

  • 开发的防御系统为增强VAS安全提供了强大的,综合的解决方案.
  • 该方法有效地减轻了智能家居环境中复杂的基于语音的攻击.
  • 这种方法为语音助理设备提供了用户友好且独立于硬件的安全增强.