对于全频段语音增强的本地光谱注意力
Zhongshu Hou1,2,3, Qinwen Hu1,2,3, Kai Chen1,2,3
1Key Laboratory of Modern Acoustics, Nanjing University, Nanjing, 210093, China.
JASA express letters
|November 2, 2023
概括
局部光谱注意力通过专注于相关频率来改善全频段语音增强 (SE),减少噪音和语音退化. 这种方法通过限制注意力范围来提高SE模型的性能.
科学领域:
- 信号处理 信号处理
- 机器学习 机器学习
- 声学 声学 在声学上
背景情况:
- 注意力机制在理论上是通过建模时间频谱信号连接来提高语音 (SE) 的有效性.
- 然而,在SE中全频段的注意力可能会导致过度的噪音和语音退化.
研究的目的:
- 为了研究注意力跨度对全频段语音增强的影响.
- 引入和评估一个局部光谱注意力机制,以提高SE的性能.
主要方法:
- 通过限制注意力的频率范围,实施了局部光谱注意力机制.
- 在三个不同的全频段SE模型上进行了废弃试验,以验证该方法.
主要成果:
- 拟议的局部光谱注意力有效地减轻了全频带注意力所造成的问题.
- 废弃性研究证实,在测试的SE模型中,性能有了显著的改善.
结论:
- 将注意力限制在局部频谱区域对于有效的全频段语音增强至关重要.
- 当地光谱注意力提供了一个可行的解决方案,以提高SE模型的稳定性和输出质量.
相关概念视频
01:17Bandpass Sampling
187
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
187
01:18Aliasing
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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
143