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GMM-recognition
使用高斯混合模型（GMM），对声音信号进行识别，包括对特征参数的采集、训练和识别过程(Using the Gaussian mixture model (GMM)to realize the recognition of the sound signal, including the acquisition of the characteristic parameters,the training and the recognition process)
- 2012-12-18 10:05:14下载
- 积分：1
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L1General
Maltlab program for Compressive sensing using L1 minimization
- 2018-01-08 22:46:44下载
- 积分：1
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lbg
实现已知训练序列的矢量量化器（LBG）算法。初始码书从训练序列每隔五个样本选取一组(Achieve a known training sequence of the vector quantizer (LBG) algorithm. The initial codebook from the training sequence every five samples to select a group of)
- 2020-11-01 16:29:57下载
- 积分：1
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TTS
用C#开发的一个语音朗读程序，可以朗读文章，能运行(C# developer with a voice reading program that can read the essay, can run)
- 2011-05-08 19:15:37下载
- 积分：1
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Speech-Signal-Processing
语音信号处理c语言程序-音高、加窗、MFCC、PLP、等(C programming language speech signal processing- pitch, add window, MFCC, PLP, etc)
- 2015-11-17 21:15:48下载
- 积分：1
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chapter2-low-bit-rate-speech-coding
Chapter 2 Low Bit-Rate Speech Coding
In this chapter an overview is given of speech coding techniques at several bit rates. Most
of them use Linear Prediction. This overview is not meant to be complete its purpose is
to make the reader somewhat familiar with Linear Predictive Coding which is necessary for
a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and
coding. In section 2.2 a description of speech production and speech sounds is given. Coders
based on linear prediction can be considered as being based on a simple speech production
model. This model is explained in section 2.3. Section 2.4 describes various speech coding
algorithms and techniques. Section 2.5 briefly describes some measures for the quality of
coded speech.(In this chapter an overview is given of speech coding techniques at several bit rates. Most
of them use Linear Prediction. This overview is not meant to be complete its purpose is
to make the reader somewhat familiar with Linear Predictive Coding which is necessary for
a proper understanding of later chapters. Section 2.1 treats the subject of quantisation and
coding. In section 2.2 a description of speech production and speech sounds is given. Coders
based on linear prediction can be considered as being based on a simple speech production
model. This model is explained in section 2.3. Section 2.4 describes various speech coding
algorithms and techniques. Section 2.5 briefly describes some measures for the quality of
coded speech.)
- 2010-07-02 19:42:42下载
- 积分：1
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speech-recognition
实现语音识别，使用HTK工具。README描述了具体的训练过程。(Voice recognition, using HTK tools. README describes the specific training process.)
- 2013-11-27 14:01:11下载
- 积分：1
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HMM
HMM隐马尔科夫模型源码，实现模型的训练(Hidden Markov Model HMM source, the realization of model training)
- 2008-04-06 10:34:10下载
- 积分：1
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Eriksson_method
基于单通道的在线次级通道建模的主动
噪声控制FXLMS算法的MATLAB实现( a single channel feed-forward active noise control system based on On-line secondary path modellingthe FxLMS alogrithms You can find many information about this simulation in "Use of random
noise for online transducer estimate in an adaptive attenuation system "
written by L,J Eriksson and M.A Allie in 1989.)
- 2012-12-03 15:41:11下载
- 积分：1
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Normalized_LMS
本程序介绍了一种改进的LMS算法-均一化的LMS算法，与传统的LMS算法比较收敛性更好，并由程序给出了比较图(This procedure introduced an improved LMS algorithm- homogenization of the LMS algorithm, with the traditional LMS algorithm convergence better, by the procedures given comparison)
- 2020-10-08 15:37:36下载
- 积分：1
