Read the speech signal (the wavread instruction of matlab), the speech signal is divided frame, add window, make turbidity division, extraction base Frequency, this part is simpler, do it yourself. Refer to the literature for the library journal online search. To extract the LPC parameters of the speech signal, the lpcfit.m program (I provide, see the attachment), will be the voice of the source and target voice The LPC coefficient of the segment is DTW, and the pathita2. M program is called. (I provide, see the attachment). The LPC coefficient that will be obtained by the regulation Convert to LSP parameters, call lpcar2ls. M program (I provide, see attachment), and then convert the mapping, call matlab Instruction newrbe. -read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab.

distance2.m
lpcfit.m
pathita2.m

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