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voice

于 2012-02-28 发布 文件大小:4KB
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  Matlab 语音合成,可进行语音处理与还原(Matlab dealing with voice)

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    频域的模态参数识别方法之一,可以对振动信号进行分析处理,得出结构的固有频率,阻尼比,振型系数,方法很好,程序完整(Frequency-domain modal parameter identification methods that can analyze the vibration signal processing, draw the structure of natural frequencies, damping ratio, mode shape coefficient, very good method, program integrity)
    2020-07-03 06:20:02下载
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  • MUSIC
    基于麦克风阵列的声源定位一维music算法源代码(Based on the microphone array beamformer one-dimensional music algorithm source code)
    2021-04-13 23:18:55下载
    积分:1
  • Voice-recognition-using-mfcc-and-svm-Bitsforge
    voice recognition using mfcc
    2012-11-21 18:46:03下载
    积分:1
  • PsychoacousticModel
    matlab代码,语音的压缩和编码,主要利用了心理声学模型,得到低比特编码 和高质量语音(matlab code, voice compression and coding, psychoacoustic model used by low-bit encoding and high-quality voice)
    2009-07-12 21:39:58下载
    积分:1
  • voice
    Matlab 语音合成,可进行语音处理与还原(Matlab dealing with voice)
    2012-02-28 15:01:50下载
    积分:1
  • MicrophoneArrayDereverberation
    4元麦克风阵列去除语音混响,适合正在学习阵列去混响的同学们参考一下(Microphone Array Dereverberation)
    2014-12-06 12:40:16下载
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  • yuyinhecheng
    全面介绍语音合成的知识比较系统很适合语音学习(A comprehensive comparative introduction speech synthesis system is suitable for knowledge language learning)
    2010-09-27 20:34:07下载
    积分:1
  • HLMSSmatlaabe
    这 里主要对LMS算法及一些改进的LMS算法(NLMS算法、变步长LMS算法、变换域LMS算法)之间的不同点进行了比较,,在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析析中对其与LMS算法的不同特性进行了比较。 (Here the main difference between the LMS algorithm and improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, the transform domain LMS algorithm) comparison, the traditional LMS algorithm based on the development of the application of the LMS algorithm . On the other hand and from its different characteristics of the LMS algorithm of the analytical analysis of the RLS algorithm.)
    2012-07-26 11:43:36下载
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  • KSVDchaotic
    语音压缩感知,观测矩阵采用混沌序列,稀疏字典采用KSVD训练得到。(compressed sensing with chaotic sequence and K-SVD )
    2010-12-27 11:28:08下载
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  • MFCC_Coding_Demo2
    characteristic parameters for speech recognition on the extraction function
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