资源列表
A-tutorial-on-Hidden-Markov-Models---Lawrence-R.-
- Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of Markov source or hidden Markov modeling have become increasingly popular in the last several years. There are two strong reasons why this has occurred
dazhihui
- 大智慧软件预警平台到手机的短信通知,接口是采用声音识别.-Large intelligent software early warning platform to the mobile phone SMS notification, the interface is the use of voice recognition.
VvvbbvoiceB
- 一种基于VB+TTS的语音识别，能实现简单易懂的对话与控制，程序源码码中使用了串口用来控制机器人的一些行为（毕业设计时做的） 可直接使用。 -A speech recognition based on VB+TTS straightforward dialogue and control, program source code using the serial port used to control the robot behavior (graduation project) can
Smfccczipp
- 语音识别中的MFCC参数提取的javaa源码与FFT的java源码 可直接使用。 -MFCC parameters in speech recognition the extracted javaa source and FFT java source code can be used directly.
Speech_Coding_Technique
- 文章叙述了语音编码技术和语音编码实现过程-The article describes a speech coding and voice coding process
chengxu
- 利用线性预测谱估计方法分析前响元音的共振峰，通过得到共振峰F1和F2的值，与前响元音的的两个音素单独发音时的F1和F2作比较，最终做出五个前响元音与组成音素的声位图。-Use of linear prediction spectral estimation to analyze the formant of the vowel sound before, and the formants F1 and F2 values, and the vowel of the former ring wh
yunyinshibie-hmm-suan-fa-huizong-
- 语音识别基于hmm(隐马尔可夫模型)算法代码汇总(算法源码及应用)-Speech recognition based on hmm (Hidden Markov Model) algorithm code summary (algorithm source code and application)
voice-spectrum
- 语音的短时能量、过零率分析 语音的能量E和过零率Z是两个比较重要的时域参数，通过总结这两个参数在语音段和静音段的特点，可以检测出语音的边界，可以总结出这两个参数分别在声母、韵母及静音部分的特点。 -The voice of the short-term energy, zero crossing rate analysis of the voice of the energy E and the zero crossing rate Z are two of the more im
exp3
- 如果观察比较纯净的语音，可以看到韵母部分的波形呈现出一定的周期特性，这个周期被称为基音周期(pitch/f0)。通常部分声母和静音部分观察不到周期性，也就是没有基音周期。基音周期反映了发音时声门开合的频率特点。 对语音进行短时自相关处理，估计基音周期，考察各种平滑方法对自相关结果的影响。 -If you look at a more pure voice, vowel part of the waveform can be seen showing the cyclical nature
tts_text_To_speech_src
- 语音合成，能使用相关播报功能！可以通过研究源码学习相关合成功能！-This is the text to speech,
VQ_DHMM-succed-debug
- 在语音识别中，对非连续字母的识别，能够成功运行，内含有字母的录音文件-In speech recognition, the recognition of non-consecutive letters, can be run successfully, containing the audio file of letters
11
- matlab visual c++ 语音信号LPC分析的编程实现-programming matlab the Visual c++ speech signal LPC analysis