摘要:
An improved method and apparatus for conducting seismic prospecting is provided wherein more accurate estimates of the source wavelet can be achieved. Receivers (202) detect pulses at vertically offset locations. The pulses are converted to digital signals in a signal processor (212) and stored on a recorder (210). A processor (108) operates on the stored signals to produce an output wavelet A'(107 ,.theta.) in accord with the equation .intg.(P.G.sub.n -G.P.sub.n)dx.sub.g.
摘要:
A voice messaging system, wherein linear predictive coding (LPC) parameters, pitch, and preferably other excitation information is derived from a human voice input, encoded, and transmitted and/or stored, to be called up later to provide a speech output which is nearly identical to the original speech input. The invention features adaptive filtering of the residual signal. The residual signal derived from LPC estimation is adaptively filtered, and then is used as the input to a conventional pitch estimation procedure. The adaptive filtering step uses the first reflection coefficient (k.sub.1) to realize a simple filter (e.g., A(z)=(1-k.sub.1 z.sup.-1).sup.-1. This filter removes high frequency noise from the residual signal during voiced periods, but does not remove the high frequency energy which contains important information during the unvoiced periods of speech. Preferably the above preprocessing technique is also combined with a postprocessing technique, wherein dynamic programming is used to optimally track pitch and voicing information through successive frames.
摘要:
This voice messaging system provides an LPC analyzer in combination with a pitch extractor wherein LPC parameters and a residual signal organized in a sequence of speech data frames are provided by the LPC analyzer as an output representative of an analog speech signal. The pitch extractor is operably associated with the LPC analyzer and produces a plurality of pitch candidates for each of the speech data frames in the sequence thereof. Dynamic programming is performed on the plurality of pitch candidates for each speech data frame and also with respect to a voiced/unvoiced decision of the speech data for each frame by tracking both pitch and voicing from frame to frame to provide an optimal pitch value and also an optimal voicing decision. During dynamic programming, a cumulative penalty for a sequence of frame pitch/voicing decisions is accumulated by defining a transition error between each pitch candidate of a current speech data frame and each pitch candidate of the preceding frame, and defining a cumulative error for each pitch candidate of the current frame equal to the transition error between the pitch candidate of the current frame plus the cumulative error of an optimally identified pitch candidate in the preceding frame to locate the track providing optimal pitch and voicing decisions based upon the lowest cumulative penalty. An encoder then encodes the LPC parameters as generated by the LPC analyzer and the optimal pitch and voicing decisions for each speech data frame for subsequent use in providing an audible synthesized speech output substantially identical to the original speech input.