本文提出了一种估计听觉掩蔽门限的算法。
In this paper we put forward a method to estimate the audio masking threshold.
提出了一种基于听觉掩蔽效应的语音增强算法。
A speech enhancement algorithm based on auditory masking effect is presented.
采用了一种基于人耳听觉掩蔽效应的语音增强算法。
An approach to speech enhancement based on auditory masking properties is presented.
算法利用人耳的听觉掩蔽效应动态确定每一帧的权值，有选择地增强。
The masking of the auditory system is used to determine the value of each frame dynamically and the enhancement is performed selectively.
利用人耳的语音感知特性中的掩蔽效应，提出一种基于听觉掩蔽效应的语音增强方法。
A new method based on masking properties of human ear for speech enhancement is proposed.
其次，本文研究了人耳听觉掩蔽特性，并将听觉掩蔽效应应用于多频带谱减的语音增强方法中。
Then human auditory masking is studied where its characteristic is combined with the multi-band spectral subtraction method.
文中提出一种基于听觉掩蔽效应的音频数字水印算法，根据掩蔽阈值在DCT低频系数中嵌入水印。
Watermarking embedding algorithm based on auditory masking is proposed in this paper, which embeds watermarking based on masking threshold in low-band coefficients of DCT transformation.
新算法通过提取混合语音输入中的有效语音时频成分并利用人耳的听觉掩蔽效应重构合成增强语音输出信号。
The useful speech time frequency components can be picked up successfully by the proposed algorithm, and they are used to reconstruct the enhanced outputs.
以mp3压缩攻击特点与听觉掩蔽特性为基础，提出了一种可用于MP3音乐作品版权保护的混合域数字音频盲水印算法。
On the basis of the characteristics of MP3 compression and local audio correlation, a new adaptive digital audio watermarking in DWT and DCT domain for protecting MP3 music copyright is proposed.
依据听觉掩蔽模型计算每个临界频带的掩蔽阈值，再根据水印嵌入点处的掩蔽阈值和音频载体值的大小共同控制量化步长。
Calculating masking threshold of every critical band by auditory masking model, then quantization steps are controlled by masking threshold and value of audio carrier of the embedding points.
深入分析了心理声学及听觉掩蔽原理，根据采用听觉掩蔽原理设计的心理声学模型及滤波器组阐述了AC-3编解码的过程。
The theories of psychoacoustics and auditory masking are analyzed. Then the decoding process of AC-3 according to the psychoacoustics models and filter banks is introduced.
深入分析了心理声学及听觉掩蔽原理，根据采用听觉掩蔽原理设计的心理声学模型及滤波器组阐述了AC-3编解码的过程。
The theories of psychoacoustics and auditory masking are analyzed. Then the decoding process of AC-3 according to the psychoacoustics models and filter banks is introduced.
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