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Description: 剑桥大学的音频掩蔽曲线源码,matlab语言,供参考-Cambridge audio source masking curve, matlab language, for reference
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Size: 27648 |
Author: hj |
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Description: 基于听觉频率掩蔽效应的音频数字水印算法和一种基于人耳掩蔽效应的DCT域音频水印-Auditory masking effect on the frequency of the audio digital watermarking algorithm based on the human ear and a masking effect of the DCT-domain audio watermarking
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Size: 923648 |
Author: lizhenzhen |
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Description: 求音频的掩蔽曲线,可以用于音频提取水印,还可以用于音频分析-For audio masking curve, can be used for audio watermark extraction can also be used for audio analysis
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Size: 5120 |
Author: wang |
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Description: 一个音频水印嵌入演示界面，嵌入容量较大。可供参考-An audio watermark embedding demo interface, embedded in a larger capacity. Reference
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Size: 10240 |
Author: ruby |
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Description: GSM音频指标测试 TTL Receiving loudness rating Side Tone Masking Rating -Test GSM audio indicators -TTL Receiving loudness rating Side Tone Masking Rating
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Size: 282624 |
Author: 曹荻 |
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Description: 音频的信息隐藏技术是利用了人耳听觉系统的时域掩蔽特性。-Audio information hiding technique is the use of the human auditory system' s time-domain masking properties.
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Size: 1024 |
Author: 谭梅 |
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Description: 基于henon序列音频加密实验，1．构造有限长度的语音信号序列y(n)；2．通过4Matsumoto-Chua-kobayashi模型产生超混沌序列vn；3．将超混沌序列掩盖信号序列并获得加密信号序列，然后通过信道传输出去；4．接受方受到信号后采用超混沌信号序列去掩盖获得原信号序列；5．将实现方案采用Matlab语言编程并仿真正确；
-Henon sequence based audio encryption experiment 1. Construct a finite-length sequence of the speech signal y (n) 2. Generated by hyper-chaotic sequence vn 4Matsumoto-Chua-kobayashi model 3. Super chaotic sequence masking signal sequence and get encrypted signal sequence, and then out through the transmission channel 4. After being the recipient of chaotic signals using super signal sequence to cover up access to the original signal sequence 5. The implementation and simulation using Matlab programming language correctly
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Size: 8971264 |
Author: 李龙 |
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Description: Only coding parameters of sound generation model
• LPC is an example where parameters are a1, a2, …ak , e(n)
• Music instrument parameters: pitch, loudness, timbre, …Frequency Masking: If a tone of a certain frequency
and amplitude is present, then other tones or noise of
similar frequency cannot be heard by the human ear
• the louder tone (masker) makes the softer tone
The Masking Threshold is used by the audio encoder to
determine the maximum allowable quantization noise at
each frequency to minimize noise perceptibility: remove
parts of signal that we cannot perceive-Only coding parameters of sound generation model
• LPC is an example where parameters are a1, a2, …ak , e(n)
• Music instrument parameters: pitch, loudness, timbre, …Frequency Masking: If a tone of a certain frequency
and amplitude is present, then other tones or noise of
similar frequency cannot be heard by the human ear
• the louder tone (masker) makes the softer tone
The Masking Threshold is used by the audio encoder to
determine the maximum allowable quantization noise at
each frequency to minimize noise perceptibility: remove
parts of signal that we cannot perceive
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Size: 12900352 |
Author: eoco |
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Description: 首先对输入音频PCM信号进行时频分析，决定MDCT的长度，即加窗，然后进行MDCT变换；同时对原始音频信号要进行FFT分析。两种变换的频谱系输入给心理声学模型单元，MDCT系数用于噪声掩蔽计算，H可结果用于音调掩蔽特性计算，共同构造总的掩蔽曲线。然后根据MDCT系数及掩蔽曲线，对频谱系数进行线性预测分析用LPC(Linear Prediction Coefficience，线性预测系数)表示频谱包络，即基底曲线(Floor Curve)；或通过线性分段逼近方式获得基底曲线。从MDCT系数中去掉频谱包络则得到白化的残差频谱(Residue)，由于残差频谱波动范围明显变小，从而降低量化误差。之后可以选择是否采用声道耦合(Channel Coupling)技术进一步降低冗余度，耦合主要是将左右声道数据从直角坐标映射到平方极坐标；最后对白化的残差信号有效地以矢量量化表示。最后将要传输的各种信息数据按Vorbis定义的包格式组装，形成Vorbis压缩码流。-First, the input audio PCM signal time-frequency analysis to determine the length of the MDCT, that windowing, then MDCT transform while the original audio signal to FFT analysis. Two Transformations spectral line input to the psychoacoustic model unit, MDCT coefficients used to calculate the noise masking, H can be used to tone masking characteristic calculation result, the overall structure of the common masking curve. Then according to the MDCT coefficient and the masking curve, spectrum analysis using linear prediction coefficients LPC (Linear Prediction Coefficience, linear prediction coefficients) represent the spectral envelope, ie the base curve (Floor Curve) or approaching the base curve obtained by linear segments. Removed the MDCT coefficients in the spectral envelope of the residual spectrum obtained albino (Residue), since the fluctuation range of the residual spectrum significantly smaller, thereby reducing the quantization error. Then you can choose whether to use cha
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Size: 505856 |
Author: 张小 |
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Description: add masker to audio signal
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Size: 5120 |
Author: Harisma
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