资源列表
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.
cv
- 通过GUI界面，可以采集外面的声音变化，然后声音的波长可以实时的显示在界面上，以便随时观察外部变化。-Through the GUI interface, you can capture the voice of change outside, then the wavelength of the sound can be displayed on a real-time interface to external changes observed at any time.
PlaySounds1_src
- 主要是将音乐按照节奏的提取出来，比较实用-According to the rhythm of the music is mainly extracted, more practical
VC-Speech
- VC编程实现文本语音转换,是一个很好的学习资料！-VC Programming Text-to-Speech,it is good for study!
caihong
- 彩虹音乐发生器，数字电路课程设计内容，很有借鉴意义。不知道这个分类对不对-“Rainbow” music generator, digital circuit design curriculum content, useful one. This classification does not know right
modulator-fm
- modulator FM with multisim
matlab-codes
- matlab manual for cancellation of noise in speech signal using adaptive algorithms.
homework1
- 清华大学信号处理原理课程第一次实验，内容为产生固定波形以及声波的叠加-Signal processing theory, Tsinghua course first experiment, the content and the acoustic waveform to generate a fixed superposition
homework2
- 清华大学信号课程第二次实验，内容是基于傅立叶级数的信号分解以及双音频按键音合成-Tsinghua signal course the second experiment, the content is based on the Fourier series of two-tone signal decomposition and synthesis of key tone
p3
- 清华大学信号处理原理课程实验，内容是语音信号的频分复用-Signal processing theory Tsinghua course experiment, the content of the speech signal is frequency-division multiplexing
p2
- 清华大学信号处理原理课程实验，内容是各种卷积计算方法性能的比较-Tsinghua signal processing theory course experiment, the content is the convolution calculation methods compare the performance of
p1
- 清华大学信号处理课程实验，内容是Goertzel 算法，FFT算法实验以及对比-Tsinghua signal processing course experiment, the content is Goertzel algorithm, FFT algorithm and comparative experiments