使用Aquila黑寡妇优化算法进行语音增强的层修改后剩余Unet++
Thangappanpillai Murugan Minipriya1, Ramadoss Rajavel1
1Department of Electronics and Communication Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India.
Network (Bristol, England)
|July 28, 2025
概括
本研究介绍了一个轻量级的深度学习模型,Layer Modified Residual Unet++ (LMResUnet++),用于有效的语音增强. 这种新系统通过消除环境噪音,显著提高了语音质量.
科学领域:
- 信号处理 信号处理
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 语音增强至关重要,但计算要求很高.
- 深度学习模型与各种环境噪音作斗争,需要强大的系统.
- 现有的方法在效率和质量方面面临挑战.
研究的目的:
- 为环境语音增强开发一种轻量级和高效的深度学习模型.
- 引入一种基于启发式启发的新型模型,用于强大的消除噪音.
- 为了提高各种噪音降低的语音信号的质量.
主要方法:
- 利用短时间里埃转换 (STFT) 将噪音语音转换为光谱图.
- 开发了层修改后的剩余Unet++ (LMResUnet++),用于多尺度的特征提取.
- 雇佣了阿奎拉黑寡妇优化 (ABWO) 用于超参数调整和模型优化.
- 通过反向STFT恢复了增强的语音.
主要成果:
- LMResUnet++模型在语音增强方面表现出卓越的性能.
- 在语音质量感知评估 (PESQ) 评分中取得了显著的改善.
- 优于DeepUnet,MTCNN,STCNN和ResUnet++等现有模型的表现显著 (7.93%至1.90%).
结论:
- 拟议的LMResUnet++为环境语音增强提供了一种高效,强大的解决方案.
- 混合优化方法提高了模型的紧性和性能.
- 这种深度学习设计有效地消除噪音,同时保持语音质量.
相关概念视频
01:18Reducing Line Loss
194
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
194
00:56Extraction: Advanced Methods
535
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
535
01:22Upsampling
314
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
314
01:12Double Resonance Techniques: Overview
297
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...
Spin decoupling is usually achieved by...
297
01:11Residuals and Least-Squares Property
7.8K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.8K
01:10Reconstruction of Signal using Interpolation
345
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
345