搜索资源列表
G.711
- 语音信号的G.711编码。 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by \"unlocked\" factor yu(k) only. The factor yl(k) and speed-contral fact
G.723
- G.723语音编码 The source code has been modified by simplifying the ADPCM algorithm to increase running speed. Here, the quantizer scale factor, y(k), is determined by \"unlocked\" factor yu(k) only. The factor yl(k) and speed-contral factor a
data
- 不定长信号合并，％执行信号相加： y(n) = x1(n)+x2(n) ％调用方式：[y,n] = sigadd(x1,n1,x2,n2) ％ y：叠加后的信号序列的序列号，包括n1和n2 ％ x1： 第一个信号序列，序列号为n1 ％ x2：第二个信号序列，序列号为n2(n2可以与n1不同)
Mmse84
- 利用Y.Ephraim提出的短时谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed the use of short-term amplitude spectrum MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
Mmse85
- 利用Y.Ephraim提出的对数谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed use of spectrum amplitude MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
hmm_model
- inicializacion, entrenamiento y validacion de modelos hmm para reconocimiento de digitos
ClusterData
- Performs hierarchical clustering of data using specified method and seraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Databa
paper_v0
- IMPLEMENTATION AND ANALYSIS OF SPEECH RECOGNITION FRONT-ENDS V. Mantha, R. Duncan, Y. Wu, and J. Zhao
mic1
- There are four major types of adaptive filtering configurations adaptive system identification, adaptive noise cancellation, adaptive linear prediction, and adaptive inverse system. All of the above systems are similar in the implementation of the al
MMSE
- 本程序为经典MMSE方法，引自Y. Ephraim and D.Malah “Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator-Ephraim and D.Malah “Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator
Speech-recognition
- 运行结果表明该说话人识别系统的识别能力是比较理想的，识别率为88 ，语音库3识别不成功的原因主要有两个，一方面3的录音本身噪音相对大些，导致系统很难识别，另一方面，识别系统的算法还不是很理想，导致识别准确率不是100 。- DISTEU Pairwise Euclidean distances between columns of two matrices Input: x, y: Two matrices whose each column