k-means algorithm for speech
نمایش یک نتیجه
شناسه محصول: EMB010 دسته: کتاب برچسب: Artificial neural network for speech recognition, Baum–Welch متلب, Cauchy kernel, Cepstral co-efficients matlab, Code Exited Linear Prediction (CELP), Discrete wavelet transformation, Expectation–Maximization, Fuzzy k-means matlab, Gibbs phenomenon متلب, Gram–Schmidt orthogonalization متلب, Hidden Markov Model for speech matlab, homomorphic filtering, Independent component analysis, k-means algorithm for speech, Kernel LDA متلب, Kohonen self-organizing map, Kurtosis متلب, Line spectral frequencies, Linear predictive coefficients, Mel-frequency cepstral coefficients (MFCC) matlab, Nonuniform quantization, Null-space linear discriminant analysis, Quantization noise matlab, Short-time Fourier transformation, Spectrogram matlab, Speech compression matlab, Support vector machine matlab, Support Vector Machine speech recognition, Unsupervised learning algorithm, Unsupervised learning algorithm matlab, Zero-crossing rate, الگوریتم های یادیگری بدون ناظر متلب, تبدیل گسسته ویولت متلب, ضریب کپسترال متلب, فرکانسهای طیف خطی متلب, فشرده سازی صحبت متلب, مدل Cochlea متلب, مدل Gaussian mixture متلب, مدل Hidden Markov متلب