资源列表
icacovb.m
- 一个盲信号分离的卷积方法，适合分离实际卷积混合的模型，希望对初学者有帮助。-Convolution of a blind signal separation method, suitable for separation of the real convolution mixture model, want to help beginners.
3
- Matlab时频工具箱,不错的说,可做时频分析用-Matlab time-frequency toolbox, it is true to say that to do with the time-frequency analysis
2
- 基于自适应子带频谱熵的稳健性语音端点检测-Based on adaptive sub-band spectral entropy of the robustness of Speech Endpoint Detection
dsp
- DSP算法C语言大全，希望对大家有所帮助-DSP algorithms C-Daquan
TextToSpeechProject
- It is a simple text to speech project
Speech-Voice
- 语音信号增强处理解说，实现语音信号的增强-Speech signal enhancement processing explanations of the enhanced voice signal
group_20
- a trial code to seperate diffrent words of a sentence as preparation for speech recognition
Speakit
- a simple application using speech lib..it will speak wht u write in text box
CODE_UPLOAD466
- create FFT file analsys audio
endpoint_detection_with_noise
- 提出了一种基于时频方差和的语音端点检测算法。实验证明该算法能够在低信噪比的情况下,准确地检测出语音信号-Proposed based on time-frequency variance and Speech Endpoint Detection Algorithm. Experiments show that the algorithm at low SNR cases, accurately detect the speech signal
voice_enhanced_method
- 结合漏水信号的特性．对基本谱减法进行改进．加入重叠帧，抑制部分音乐噪声。-Combining the characteristics of the signal leakage. The basic spectral subtraction to improve it. Adding overlapping frames, some musical noise suppression.
endpoint_detection
- 噪声环境下的端点检测在语音信号分析和识别中占有重要地位。文中将分形理论中的分形记盒维数应用到端点检测算法中，采用了基于分形记盒维数与短时能零比相结合的端点检测算法，以分形记盒维数为主要判决条件，并在判决门限的设定上采用了自适应机制。-Noise environment endpoint detection in speech signal analysis and identification play an important role. Wen will be fractal theory