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Genetic Lingo01:11

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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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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Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
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The Y chromosome is a sex chromosome found in several vertebrates and mammals, including humans. In addition to 22 pairs of autosomes, the human males have one X chromosome and one Y chromosome. In these organisms, the presence or absence of the Y chromosome determines the development of male traits.
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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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性别驱动的英语语音情感识别与遗传算法

Liya Yue1, Pei Hu2, Jiulong Zhu1

  • 1Fanli Business School, Nanyang Institute of Technology, Nanyang 473004, China.

Biomimetics (Basel, Switzerland)
|June 26, 2024
PubMed
概括

这项研究引入了一种新的性别情感识别模型,使用遗传算法 (GA) 来增强语音分析. 改进的GA在基于性别的情感识别的准确性和效率方面取得了卓越的表现.

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 语音处理 语音处理

背景情况:

  • 准确的语音情感识别 (SER) 对于个性化的人机交互至关重要.
  • 性别特定的SER增强了在技术,医疗保健和心理学方面的同情心.
  • 现有的模型往往在微妙的情感区分和特征选择方面扎.

研究的目的:

  • 为改进语音分析开发一种新的性别情感识别模型.
  • 使用优化遗传算法 (GA) 增强特征选择和识别精度.
  • 评估模型的性能与最先进的算法对比.

主要方法:

  • 从语音信号中提取性别和情感特征.
  • 基因算法 (GA) 的应用用于高维特征处理和选择.
  • 用基于费舍尔分数特征排名的新型交叉和突变方法改进GA.
  • 与使用支持矢量机器 (SVM) 在四个英语数据集上的现有算法进行比较.

主要成果:

  • 拟议的基于GA的模型在准确性,精度,回忆,F1得分,特征选择和运行时间方面表现出卓越的性能.
  • 梅尔频率塞普斯特拉系数 (MFCC) 和日志MFCC被确定为性别差异化的关键特征.
关键词:
功能选择 功能选择遗传算法是一种遗传算法.这是一个高维的高维空间.语音 情感 识别 语音 情感 识别

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  • 由于微妙的声音变化,在区分中性,悲伤和恐惧情绪之间仍然存在挑战.

    • 结论:

    • 这种基于GA的新方法显著改善了基于性别的语音情感识别.
    • 基于特征重要性的GA优化提高了模型的效率和准确性.
    • 需要进一步的研究来解决微妙的情绪分类挑战.