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相关概念视频

Long-term Potentiation01:35

Long-term Potentiation

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Auditory Pathway01:15

Auditory Pathway

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Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
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相关实验视频

Updated: Jul 10, 2025

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

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基于双路长短记忆网络的语音感知改进算法

Hyeong Il Koh1, Sungdae Na2, Myoung Nam Kim3

  • 1Department of Medical & Biological Engineering, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.

Bioengineering (Basel, Switzerland)
|November 25, 2023
PubMed
概括

这项研究引入了一种新的双路径深度学习模型,用于语音增强. 该模型通过同时处理时间和时间频率域来提高语音质量和可理解性.

关键词:
这是LSTM的LSTM.在STFT,STFT和STFT中.双通道网络的双通道网络.编码器解码器结构梅尔-过器银行合并算法 合并算法 合并算法频谱扩展区块是一个频谱扩展区块.语音增强器 语音增强器

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Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
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Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

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相关实验视频

Last Updated: Jul 10, 2025

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

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Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

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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

460

科学领域:

  • 信号处理 信号处理
  • 人工智能的人工智能
  • 声学 声学 在声学上

背景情况:

  • 深度学习语音增强通常侧重于时间频率表示.
  • 传统的方法可能会导致由于特定领域的处理限制而导致语音扭曲.

研究的目的:

  • 开发一种新的语音增强模型,解决单域方法的局限性.
  • 通过整合时间和光谱特征提取来提高语音质量和可理解性.

主要方法:

  • 设计了一个双路径深度学习网络,包括时间和时间频率领域.
  • 时间路径模拟波形的语义特征,而时间频率路径细化了光谱细节.
  • 长短期记忆 (LSTM) 网络被用来建模模具功能,以增强时间和光谱特征.

主要成果:

  • 拟议的双路径LSTM网络与单域方法相比,表现优越.
  • 在对语音质量的客观和主观评估中都观察到一致的改善.
  • 增强可理解性是双路径方法的一个关键结果.

结论:

  • 双路径架构有效地捕获来自不同领域的互补语音信息.
  • 这个模型为语音增强挑战提供了更全面,更强大的解决方案.
  • 这些发现表明了未来基于深度学习的音频处理研究有前途的方向.