Description: 在强噪声环境下，说话人话音受到很强烈的干扰，语音增强是很有必要的。在TDS5410-TDK实验板，实现了谱衰减算法。主要包括有声/无声检测算法、发送/接收缓冲区的调度、语音降噪算法。试验结果表明，其降噪效果明显，试听效果较好。
-In strong noise environment, the speaker voice by the very strong interference, speech enhancement is necessary. TDS5410-TDK experiments in panels, to achieve a spectral attenuation algorithms. Include audio/silence detection algorithm, Send/Receive buffer scheduling, voice noise reduction algorithm. The experimental results show that the effect of its noise reduction obviously, listen better. Platform: |
Size: 25600 |
Author:chenziqiang |
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Description: musicdsp source code archive-Analysis
Beat Detector Class
Coefficients for Daubechies wavelets 1-38
DFT
Envelope detector
Envelope Detector class (C++)
Envelope follower with different attack and release
Fast in-place Walsh-Hadamard Transform
FFT
FFT classes in C++ and Object Pascal
Frequency response from biquad coefficients
Java FFT
Look ahead limiting
LPC analysis (autocorrelation+ Levinson-Durbin recursion)
Magnitude and phase plot of arbitrary IIR function, up to 5th order
Measuring interpollation noise
QFT and DQFT (double precision) classes
Simple peak follower
tone detection with Goertzel
Tone detection with Goertzel (x86 ASM)
Effects
2 Wave shaping things
Alien Wah
Band Limited PWM Generator
Bit quantization/reduction effect
Class for waveguide/delay effects
Compressor
Decimator
Delay time calculation for reverberation
DIRAC- Free C/C++ Library for Time and Pitch Manipulation of Audio Based on Time-Frequency Transforms
dynamic convolution
Early echo s with image-mirror techn Platform: |
Size: 826368 |
Author:Alan Tang |
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Description: 1 Haar Wavelets
1.1 The Haar transform
1.2 Conservation and compaction of energy
1.3 Haar wavelets
1.4 Multiresolution analysis
1.5 Compression of audio signals
1.6 Removing noise from audio signals
1.7 Notes and references
2 Daub echies wavelets
2.1 The Daub4 wavelets
2.2 Conservation and compaction of energy
2.3 Other Daubechies wavelets
2.4 Compression of audio signals
2.5 Quantization, entropy, and compression
2.6 Denoising audio signals
2.7 Two-dimensional wavelet transforms
2.8 Compression of images
2.9 Fingerprint compression
2.10 Denoising images
2.11 Some topics in image processing
2.12 Notes and references
3 Frequency analysis
3.1 Discrete Fourier analysis
3.2 Definition of the DFT and its properties
3.3 Frequency description of wavelet analysis
3.4 Correlation and feature detection
3.5 Object detection in 2D images
3.6 Creating scaling signals and wavelets
3.7 Notes and references Platform: |
Size: 4108288 |
Author:Rakesh |
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Description: 基于DCT域音频水印完整源代码，包括水印图像的预处理（二维二值图像Arnold变换、混沌加密、降维），水印的嵌入提取以及检测，信噪比和相似性系数。-Based on the the DCT domain audio watermarking complete source code, including the watermark image preprocessing (two-dimensional binary images Arnold transform chaotic encryption, dimensionality reduction), the embedded watermark extraction and detection, signal-to-noise ratio and similarity coefficient. Platform: |
Size: 21720064 |
Author:zhangmingyang |
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Description: A behavioral description of a noise cancellation based on audio detection or RF detection, written in a synthesizable subset of VHDL. Platform: |
Size: 708608 |
Author:Hung |
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Search - audio noise detection