搜索资源列表
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读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基
频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。
提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音
段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数
转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab
的指令ne
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基于动态时间规划（DTW）的语音信号识别，MATLAB环境下的-Dynamic Programming (DTW) of the speech signal recognition, MATLAB environment
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利用matlab能够实现语音信号的分割与储存-Can be achieved using matlab segmentation and storage of speech signals
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his a simple method for silence removal and segmentation of audio streams that contain speech. The method is based in two simple audio features (signal energy and spectral centroid). As long as the feature sequences are extracted, as thresholding app
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enframe is a function used in speech signal processing to split up the speech into frames ..segmentation is done using segment.m. durbin levinson code is also included along with the autocorrelation function and the energy code is inclluded along wit
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a program to segmentation of syllable in speech processing
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语音分段检测算法，用于语音增强的分段算法。-Speech segment detection algorithm, the segmentation algorithm for speech enhancement.
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Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data
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语音信号的采集与处理，数字信号处理课设，粒子图像分割及匹配均为自行编制的子例程，音频信号通过LM386放大。- Acquisition and Processing of the speech signal, digital signal processing class-based, Particle image segmentation and matching subroutines themselves are prepared, LM386 audio signal amplifica
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可以提取一幅图中想要的目标，粒子图像分割及匹配均为自行编制的子例程，完整的基于HMM的语音识别系统。- Target can be extracted in a picture you want, Particle image segmentation and matching subroutines themselves are prepared, Complete HMM-based speech recognition system.
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中介真值程度度量，基于中介真值程度度量的图像分割完整的基于HMM的语音识别系统，基于负熵最大的独立分量分析。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Complete HMM-based speech recognition system, Based on ne
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完整的基于HMM的语音识别系统，粒子图像分割及匹配均为自行编制的子例程，DSmT证据推理的组合公式计算函数。- Complete HMM-based speech recognition system, Particle image segmentation and matching subroutines themselves are prepared, Combination formula DSmT evidence reasoning calculation function.
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粒子图像分割及匹配均为自行编制的子例程，最小均方误差（MMSE）的算法，语音信号的采集与处理，数字信号处理课设。- Particle image segmentation and matching subroutines themselves are prepared, Minimum mean square error (MMSE) algorithm, Acquisition and Processing of the speech signal, digital signal proces
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详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility
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通过语音分帧、端点检测、特征提取、DTW算法，实现多字语音识别(Through speech segmentation, endpoint detection, feature extraction and DTW algorithm, multi word speech recognition is realized.)
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UNSUPERVISED LOCATION-BASED SEGMENTATION OF MULTI-PARTY SPEECH的配套源码,G. Lathoud, I.A. McCowan and J.M. Odobez
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