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相关概念视频

Classification of Signals01:30

Classification of Signals

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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...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
741
Force Classification01:22

Force Classification

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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
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Instrument Calibration01:12

Instrument Calibration

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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
150
Sample Handling01:02

Sample Handling

87
Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
87
Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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相关实验视频

Updated: Jun 2, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Published on: September 27, 2024

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一个全面的语音数据集,用于 Hindko 数字识别.

Tanveer Ahmed1, Maqbool Khan1,2, Khalil Khan3

  • 1Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur, Pakistan.

Data in brief
|January 15, 2025
PubMed
概括

这项研究引入了Hindko语言的新语音识别数据集,包括17597个语音样本. 这个资源旨在改善印度语说者的数字包容性和语言保存.

关键词:
人工智能的人工智能是人工智能.机器学习 机器学习自然语言处理自然语言处理.信号处理 信号处理语音识别功能 语音识别功能

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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

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相关实验视频

Last Updated: Jun 2, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Published on: September 27, 2024

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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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科学领域:

  • 计算语言学 计算语言学
  • 语音技术 语言技术
  • 语言的保护 语言的保护

背景情况:

  • 印度语是巴基斯坦的一个重要语言,大约有800万人使用,主要是在Khyber Pakhtunkhwa.
  • 哈扎拉地区是印度语说话者的文化中心,在哈里普尔,阿博塔巴德和曼塞拉等地区的流行率很高.
  • 尽管在各个领域广泛使用,但Hindko目前缺乏专门的语音识别系统,这阻碍了数字可访问性和保存工作.

研究的目的:

  • 为解决印度科语言缺少语音识别系统的问题.
  • 为学术和研究使用提供公开可访问的 Hindko 语音识别数据集.
  • 为了促进自然语言处理和数字包容的进步为印度语说话者.

主要方法:

  • 编制一个全面的语音识别数据集.
  • 收集了17597个语音样本,涵盖了20个印度语数字 (1-20).
  • 来自Pak-Austria Fachhochschule应用科学与技术学院的学生,工作人员和教师的语音样本.

主要成果:

  • 创建了一个新的Hindko语音识别数据集,包含17,597个语音样本.
  • 数据集包括从1到20的Hindko数字的记录.
  • 数据集是为研究和学术目的公开提供.

结论:

  • 开发的Hindko语音识别数据集是推动该语言语音技术发展的关键资源.
  • 这项倡议支持保留Hindko,并促进其发言者的数字包容.
  • 利用这一数据集进行进一步的研究,可以提高语音技术的可访问性和更广泛的应用.