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相关概念视频

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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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...
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Design Example01:23

Design Example

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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...
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Perception of Sound Waves01:01

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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...
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Double Resonance Techniques: Overview01:12

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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...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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English Prosodic Focus Marking by Cantonese Trilingual Children With and Without Autism Spectrum Disorder.

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Updated: Jun 18, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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模拟词汇音调用于扬声器歧视.

Ricky K W Chan1, Bruce Xiao Wang2

  • 1Speech, Language and Cognition Laboratory, School of English, The University of Hong Kong, Hong Kong.

Language and speech
|July 27, 2024
PubMed
概括

这项研究比较了在演讲中模拟词汇语调的方法,以进行演讲者歧视. 离散的等号变换 (DCT) 和多项式曲线拟合显示了扬声器识别的有希望的结果,优于定量目标近似 (qTA).

科学领域:

  • 语音学 语音学 语音学
  • 语音科学 语言科学
  • 法医语言学 法医语言学

背景情况:

  • 基本频率 (F0) 对于语音区分至关重要,但研究往往忽略了动态的词汇语调.
  • 现有的分析音调F0的方法缺乏标准化的参数化,以实现最佳的扬声器区分.

研究的目的:

  • 为了比较扬声器对三种词汇音调建模方法的区分性表现:离散的等号变换 (DCT),多项式曲线拟合和定量目标近似 (qTA).
  • 确定使用音调F0在扬声器识别和法医语音比较中最有效的参数化方法.

主要方法:

  • 使用离散等边变换 (DCT) 来进行特征提取的词汇音调建模.
  • 使用多项式曲线适配用于特征提取的词汇音调建模.
  • 使用定量目标近似 (qTA) 来进行特征提取的词汇音调建模.
  • 在三种建模技术中对扬声器歧视性表现的比较分析.

主要成果:

  • 来自DCT和多项式曲线拟合的参数显示了可比且有前途的扬声器区分性能.
  • 从定量目标近似 (qTA) 获得的参数通常会产生明显较差的扬声器歧视结果.
  • 该研究强调了DCT和多项式方法在捕获语言结构F0动态以识别说话者的有效性.
关键词:
广东语 广东语 广东语这是普通话的普通话.议长歧视 议长歧视基本的频率基本的频率.词汇语调的词汇语调.

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结论:

  • DCT和多项式曲线拟合是模拟表面音调F0用于扬声器区分的有效方法.
  • 与DCT和多项式方法相比,qTA不太适合用于扬声器区分任务.
  • 进一步的研究应该探索这些发现对理解说话者识别中的发音过程的影响.