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相关概念视频

Labeling Emotion01:20

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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...
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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...
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The physiology of emotions is a multifaceted process involving the autonomic nervous system, brain structures, hormones, and neurotransmitters. This intricate interplay dictates how emotions manifest in the body and influence behavior.
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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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.
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Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
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相关实验视频

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使用卷积神经网络和多头卷积变压器进行语音情感识别.

Rizwan Ullah1, Muhammad Asif2, Wahab Ali Shah3

  • 1Wireless Communication Ecosystem Research Unit, Department of Electrical Engineering, Chulalongkorn University, Bangkok 10330, Thailand.

Sensors (Basel, Switzerland)
|July 14, 2023
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概括
此摘要是机器生成的。

这项研究引入了一种新的语音情感识别 (SER) 系统,该系统使用CNN和变形机融合了空间和时间特征. 增强的SER模型实现了高精度,性能优于最先进的方法.

关键词:
卷积变压器编码器编码器卷积神经网络是一种卷积神经网络.多头注意力多头注意力空间特征 空间特征 空间特征语音 情感 识别 语音 情感 识别时间特征 时间特征 时间特征

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科学领域:

  • 人工智能的人工智能
  • 人与计算机的交互
  • 语音处理 语音处理

背景情况:

  • 语音情感识别 (SER) 对自然的人与计算机交互 (HCI) 至关重要.
  • 从语言中有效地提取情感特征仍然是一个重大挑战.
  • 现有的SER方法往往缺乏先进的融合算法,以实现最佳的特征表示.

研究的目的:

  • 通过融合空间和时间特征表示来开发先进的SER系统.
  • 利用并行卷积神经网络 (CNN) 和变压器编码器来改进情感特征提取.
  • 通过数据增强来增强模型的稳定性,并最大限度地减少过拟合.

主要方法:

  • 开发了一个新的架构,融合了并行CNN (空间特征) 和变压器编码器 (时间特征).
  • 为了培训和评估,使用了RAVDESS数据集,识别了八种不同的情绪.
  • 数据增强技术,包括添加式白高斯噪声 (AWGN),应用于RAVDESS数据集.

主要成果:

  • 拟议的SER模型在八种情绪的RAVDESS数据集上实现了82.31%的准确性.
  • 在IEMOCAP数据集的评估中,五种情绪的准确率为79.42%.
  • 与当前最先进的 (SOTA) 模型相比,该系统表现出卓越的性能.

结论:

  • 使用并行CNN和变压器编码器的空间和时间特征的融合对SER有效.
  • 开发的SER系统在准确性方面取得了显著的改进,并且性能优于现有的SOTA模型.
  • 该方法为推进HCI应用中的SER提供了一个有希望的方向.