Description: 语音识别的原理和应用以及语音系统的提高等知识-Fundamentals of voice recognition and its applications. And some knowledge about enhancement of voice system or so. Platform: |
Size: 3623936 |
Author:sff |
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Description: 语音信号的频域处理,语音虽然是一个时变、非平稳的随机过程。但在短时间内可近似看作是平稳的。因此如果能从带噪语音的短时谱中估计出“纯净”语音的短时谱,即可达到语音增强的目的。由于噪声也是随机过程,因此这种估计只能建立在统计模型基础上。利用人耳感知对语音频谱分量的相位不敏感的特性,这类语音增强算法主要针对短时谱的幅度估计。
-voice signals in the frequency domain processing, voice is a time-varying, nonstationary random process. But in a short period of time can be approximated as smooth. So if Noisy Speech from the short-term spectrum estimate "pure" voice of the short-term spectrum, and reached speech enhancement purposes. As the noise is random process, which can only be estimated based on statistical models based on. Use ear perception of voice spectrum component of the phase sensitive to the characteristics of such speech enhancement algorithms targeted at the rate of short-term spectral estimation. Platform: |
Size: 1024 |
Author:罗飞 |
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Description: 语音识别与合成的书籍,可以帮助你了解语音信号处理的基本知识-speech recognition and synthesis of books, I can help you find the voice signal processing basic knowledge Platform: |
Size: 55296 |
Author:樊星 |
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Description: 小波变换在语音和生物医学信号处理中的应用 431
17.1 小波变换在语音信号处理中的应用 431
17.1.1 小波变换在语音增强中的应用 431
17.1.2 小波变换在语音压缩中的应用 433
17.2 小波变换在生物医学信号处理中的应用 435
17.2.1 基于小波变换的ECG信号压缩 435
17.2.2 基于小波变换的EEG信号多分辨率分析 437-wavelet transform voice, and biomedical signal processing of 431 in 17.1 wavelet transform voice signal Treatment of 431 17.1.1 wavelet transform in the speech enhancement of 431 17.1.2 wavelet change for the speech compression of 433 17.2 wavelet transform in biomedical signal processing applications 435 17. 2.1 Based on wavelet transform 435 ECG signal compression based on wavelet transform 17.2.2 EEG signal more hours Analysis of 437 identified Platform: |
Size: 4096 |
Author:崔鹏 |
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Description: quality enhancement of celp coded speech by LBG algorithm, with proposed algorithm and simulation result-quality enhancement of celp coded speech b y LBG algorithm, with proposed algorithm and simulation result Platform: |
Size: 1153024 |
Author:Darwin So |
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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: 语音增强,可以用于对带噪声语音进行处理,去除噪声-Speech enhancement, can be used to bring the noise of voice processing to remove noise Platform: |
Size: 364544 |
Author:李娜 |
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Description: 文章介绍了几种语音处理方面常见的问题!语音增强算法,以及短时谱估计 检测语音!-Article describes several aspects of speech processing common problem! Speech enhancement algorithms, as well as short-time spectral estimation detect voice! Platform: |
Size: 7024640 |
Author:tony |
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Description: 语音增强算法,基于人耳听觉掩蔽的维纳滤波-Subspace speech enhancement algorithm based on human auditory masking Wiener filter Platform: |
Size: 1064960 |
Author:longzhijun |
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Description: The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech signal is divided into finite number of frames. Every frame of the speech
signal is assumed to be generated from any one of the n states. Each state is modeled as the multivariate Gaussian density function with the specified mean vector
and the covariance matrix. Let the speech segment for the particular isolated word
is represented as vector S. The vector S is divided into finite number of frames
(say M). The i th frame is represented as Si . Every frame is generated by any of the n
states with the specified probability computed using the corresponding multivariate
Gaussian density model. Platform: |
Size: 787456 |
Author:Khan17
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Description: 几种传统的语音增强方法,适合初学者,了解语音增强的处理。(Several traditional speech enhancement methods are suitable for beginners to understand the processing of speech enhancement.) Platform: |
Size: 1932288 |
Author:sakuraai |
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Description: 基于gan的语音增强算法;
还包括原始gan用于语音增强的网络,还有wgan等(Speech enhancement based on GAN;
Also includes the original GAN for voice enhancement network, wGAN and so on) Platform: |
Size: 76800 |
Author:jyh351 |
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