MFC-asr-基于MFC的窗口语音识别

赤木正人教授在论文“Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis”中提出的f0 overshoot模型的matlab实现-Professor Masato Akagi paper "Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis" presented f0 overshoot model matlab implementation

简单的语音合成程序（text to speech）,从事此方面的，可以参考他的引擎-simple speech synthesis (text to speech), engaged in this aspect, he can refer to the engine

美国进口最新语音识别芯片,识别率90％,在身份识别,玩具,控制方面应用广泛-imports to the United States the latest speech recognition chips, 90% recognition rate, the identification, toys, extensive application of control

希尔伯特变换的C++源代码

计算声音信号的总声压级，1/3/倍频程声压级，总响度，特性响度，尖锐度-Calculation of the total sound pressure level of the voice signal, 1/3/octave sound pressure level, the total loudness, loudness characteristics, acute severe

该程序是非特定人语音识别程序，原来在SPCE500A下运行，能识别并应答16个命令，存储空间为128K字节。-the procedures were non-specific voice recognition procedure, in SPCE500A original run, Recognition and Response to 16 orders, storage space for 128K bytes.

几乎可以完全所有语音分析， 并能通过插入编程代码执行如何复杂的自定义数据分析运算-almost entirely all voice analysis, and the programming code inserted through the complexity of the implementation of the self-definition of Operational Data Analysis

Based on short-term energy detection and short-term cross zero rates detection in speech reorganization,the paper presents two-threshold endpoint detection.In addition,an accurate speech segmentation algorithm is achieved with the wavelet transform and statistics signal frequency domain characteristics.using cepstrum transform and cepstrum distance with the background noise,the paper achieved the speech segmentation algorithm.Analysis and Implementation of Speech Endpoint Detection

基于matlab 提取语音信号中的特征参数mfcc的源程序。-Matlab-based extraction of speech signal in the MFCC feature parameters of the source.

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