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Details
Inventors: Crepy, Hubert; Elie, Philippe; Galand, Claude; Lancon, Emmanuel; Liethoudt, Thierry; Rosso, Michele;
Assignee: International Business Machines (Armonk, NY)
Primary Examiner: Clark; David L.
Assistant Examiner: Merecki; John A.
Attorney, Agent or Firm: Stephens; L. Keith

A pitch detector to adjust long term prediction in a pulse excitation speech coder. A residual signal r(n) is first derived from the speech signal s(n) by short term filtering. Then, r(n) is processed to calculate a prediction error signal e(n) which is subsequently pulse excitation encoded. The processing of e(n) entails prediction of a residual by measuring a pitch related factor M, employing two steps. First calculating a coarse M value through peak clipping and sign transition detection, and then adjusting the M value by autocorrelation--calculations about the roughly spaced peaks.

DETAILED DESCRIPTION We claim: 1.
Method for detecting related data (M) in a representative signal split into blocks of samples including a rough M determination followed by a fine M determination, said method comprising the steps of: a.
for said rough M determination: 1.
setting a positive threshold (Th.
sup.
+) and a negative threshold (Th.
sup.
-) based on characteristics of the representative signal; 2.
locating and storing a plurality of samples representative of said blocks of samples, having magnitudes above and below said Th.
sup.
+ and Th.
sup.
- ; 3.
Identifying significant signal magnitude transitions within said blocks of samples; 4.
storing a set of values M' indicative of said samples between each of said significant signal magnitude transitions; and 5.
averaging said set of values M' to calculate said rough M determination; and b.
for said fine M determination: 1.
setting a plurality of autocorrelation zones about said plurality of samples; 2.
splitting said blocks of samples into consecutive sub-blocks of samples; 3.
autocorrelating, using the autocorrelation zones of a current sub-block of samples; and 4.
setting the fine M value equal to a maximum value for said current sub-block of samples in accordance with step 3 of said fine M determination.
2.
Method for detecting pitch related data (M) in a representative signal, as recited in claim 1, wherein said step of setting a plurality of autocorrelation zones about said plurality of samples includes the steps of: a.
locating a maximum value and a predetermined delta variation in each of said plurality of samples to define said autocorrelation zones; and b.
filtering said autocorrelation zones to remove any non significant values.
3.
Method for detecting pitch related data (M) in a representative signal, as recited in claim 1, further comprising the step of calculating a residual signal r(n) from said representative signal by a short-term filtering operation using a digital filter to be processed and subsequently quantized into an output signal



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