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tdpsola
- 此算法是针对语音合成，采用时域的基音同步叠加算法，对波形进行韵律特征提取，修改，以及合成（包括短时能量分析，短时过零率分析等等算法）！算法是用matlab编写的-Speech synthesis, using time-domain synchronous Pitch stack algorithm, rhythm right waveform feature extraction, modification, and synthesis (including short-term energy
traitementduson
- Speech analysis and parameter extraction Short-term analysis, frames and windows Time-domain analysis: energy, zero-crossings, statistic parameters, autocorrelation Frequency-domain analysis: spectra and spectrograms Cepstral analysis Linear predi
term-tract
- 给定一篇经过了分词处理的文章，进行领域内的术语抽取。-Given a word processing after the article, the field of term extraction.
yy
- 提取短时能量，短时过零率，清音/浊音自相关函数-Extraction of short-term energy, short-term zero crossing rate, voiceless/voiced autocorrelation function
PatTermExtraction
- 使用无监督的机器学习方法进行术语抽取的系统,具有预处理、分词、抽取术语等功能。-Unsupervised machine learning methods for term extraction system with preprocessing, segmentation, extracted terms, and so on.
fenzhenchuli
- 语音特征提取，如过零率，能量比，短时能量。须导入MAV音频。-Voice feature extraction, such as zero-crossing rate, energy ratio, short-term energy. MAV audio to be imported.
072282
- 提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。-This paper presents an approach to mining dom
Temporal_features_extraction
- 个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考-Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For you
sacf0
- matlab实现语言信号的加窗分帧 短时能量等特征值的提取-matlab implementation language framing windowed signal characteristics such as short-term value of energy extraction
trait_du_son
- Speech analysis and parameter extraction Short-term analysis, frames and windows
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程，以及相关技术。 端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取：LPCC和MFCC 参数模板存储：HMM和N_Gram 识别阶段：DWT 各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologie
Extracting
- 关键词提取，国际顶级万维网会议
VLDB08Authenticating
- 数据库安全 数据库安全 数据库安全 数据库安全-We present a novel method for key term extraction from text documents. In our method, document is modeled as a graph of semantic relationships between terms of that document. We exploit the following remarkable feature o
YUYINTEZHENGTIQU
- 语音参数提取：短时过零率、短时能量、短时平均幅度、自相关序列、傅里叶分析-Speech parameters extraction: short-time zero-crossing rate, short-time energy, short-term average autocorrelation sequence, Fourier analysis
yuyinxuebo
- 利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中-Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the funda
AudioAnnotation
- Audio Annotation containing several demo using zero crossing rate, short term energy and feature extraction
STM32-Speech-Recognition-Master
- 于市售 STM32 开发板上实现特定人语音识别处理项目。识别流程是：预滤波、ADC、分帧、端点检测、预加重、加窗、特征提取、特征匹配。端点检测(VAD)采用短时幅度和短时过零率相结合。检测出有效语音后，根据人耳听觉感知特性,计算每帧语音的 Mel 频率倒谱系数(MFCC)。然后采用动态时间弯折(DTW)算法与特征模板相匹配,最终输出识别结果。先用Matlab对上述算法进行仿真，经数次试验求得算法内所需各系数的最优值。而后将算法移植到 STM32 开发板上，移植过程中根据 STM32 上存储空间相