资源列表
dist200
- 一种用于模糊分类的距离测量的小程序，在模糊分类的C均值分类中使用。-a fuzzy classification for the measurement of the distance between the small procedures, in a vague category C classification means used.
datasamp
- 是用于模式识别中的一种数据采样方法，此方法是把数据按一定的比例分为训练数据和测试数据。-for pattern recognition of a data sampling methods, This method is data by a certain percentage into training data and test data.
convmat
- 一种把原始数据转换为矩阵形式，并且把数据分成训练与测试，按频率转换的一个小程序。-a kind of conversion of the original data matrix form, and data into training and testing, Frequency conversion by a small procedure.
ghmm-0.7b.tar
- ghmm语言识别模型算法，从老外网上下的c语言源代码。对做语音识别的很有帮助。-ghmm speech recognition algorithm, from the Internet to foreigners under the c language source code. Speech recognition of the so helpful.
HTK-samples-3.4
- 隐马项目\\HTK-samples-3.4.zip 这是一个以HMM为基础的语音训练模形源码从中可以了解HMM如何做参数撷取及如何辨识 -Hidden projects \\ HTK-samples - 3.4.zip this is a basis for the HMM Voice training pattern source from which one can understand how HMM parameters extracted and How to Tell
shangFunc
- 基于熵的端点检测算法，比传统的端点检测能更精确的检测出端点-endpoint detection algorithm than the traditional endpoint detection more accurate detection of Endpoint
cep_mark
- 语音信号的倒谱计算程序，通过倒谱的计算能更好的提取基音和共振峰信息-voice signals cepstrum calculation procedure for the adoption of the cepstrum better terms from the pitch and formant information
sphinx2-0.6.tar
- 语音识别系统，美国cmu大学开发的基于hmm模型的语音识别系统-voice recognition system, developed at the University of the United States cmu hmm model based on the Speech Recognition System
emdHilbertHuang
- 一种新的特征参数提取方法，Huang在1998年提出，可用于语音识别、故障检测等方面-a new feature extraction method, Huang was introduced in 1998, can be used for voice recognition, Fault detection etc.
hhspectrum
- 关于希尔伯特黄频谱的计算程序，提取的频谱信息可用于语音识别、故障检测等。-on Hilbert Huang spectrum calculation procedures to extract information of the spectrum can be used for voice recognition, fault detection.
pitchjiance
- 关于基音周期特征提取的程序，效果不错，可以用于语音识别。-on Pitch feature extraction procedures, good results can be used for speech recognition.
j_8996_osalp
- 开放源码音频库,对于音频开发人员来说,值得研究-the OSS Audio, Audio Development staff, it is worth study