Method and device for speech signal pitch period estimation and classification in digital speech coders

• US 5,548,680 A
• Filed: 05/17/1994
• Issued: 08/20/1996
• Est. Priority Date: 06/10/1993
• Status: Expired due to Term

• Current Assignee: Telecom Italia S.p.A.
• Original Assignee: Sip--Societa' Italiana Per L'Esercizio Telefonico PA
• Inventors: Cellario, Luca
• Primary Examiner(s): TUNG, KEE M
• Application Number:
  US08/243,295
• Time in Patent Office: 826 Days
• Field of Search: 395/2.25-2.34, 395/2.71-2.73, 395/2.16, 395/2.17, 381/36-40
• US Class Current: 704/219
• CPC Class Codes: G10L 19/012 Comfort noise or silence coding
• CPC Class Codes: G10L 19/08 Determination or coding of the excitation function; Determination or coding of the long-term prediction parameters
• CPC Class Codes: G10L 2019/0011 Long term prediction filters, i.e. pitch estimation
• CPC Class Codes: G10L 25/90 Pitch determination of speech signals
• CPC Class Codes: G10L 25/93 Discriminating between voiced and unvoiced parts of speech signals G10L25/90 takes precedence

Abstract

A method and a device for speech signal digital coding are provided where at each frame there is carried out a long-term analysis for estimating pitch period d and a long- term prediction coefficient b and gain G, and an a-priori classification of the signal as active/inactive and, for active signal, as voiced/unvoiced. Period estimation circuits (LT1) compute such period on the basis of a suitably weighted covariance function, and classification circuits (RV) distinguish voiced signals from unvoiced signals by comparing long-term prediction coefficient and gain with frame-by-frame variable thresholds.

Claims

1. A method of speech signal coding, comprising the steps of:

(a) dividing a speech signal to be coded into digital sample frames each containing the same number of samples;

(b) subjecting the samples of each frame to a predictive analysis for extracting from said signal parameters representative of long-term and short-term spectral characteristics and comprising at least a long-term analysis delay d, corresponding to a pitch period, and a long-term prediction coefficient b and gain G, and to a classification which indicates whether a respective frame corresponds to an active or inactive speech signal segment and for an active signal segment, whether the segment corresponds to a voiced or an unvoiced sound, a segment being considered as voiced if a respective prediction coefficient and gain are both greater than or equal to respective thresholds;

(c) providing information on said parameters to coding units for insertion into a coded signal, together with signals indicative of the classification for selecting in said coding units different coding methods according to characteristics of respective speech segments; and

(d) during said long-term analysis, estimating said delay is as a maximum of covariance function, weighted with a weighting function which reduces a probability that the period computed is a multiple of an actual period, inside a window with a length not less than a maximum value admitted for the delay, said thresholds for prediction coefficient and gain being thresholds which are adapted at each frame, in order to follow a background noise but not of the speech signal, adaptation of said thresholds being enabled only in active speech signal segments.

2. The method defined in claim 1 wherein said weighting function, for each value admitted for the delay is a function of the type w(d)=d^log 2^Kw, where d is the delay and Kw is a positive constant lower than 1.

3. The method defined in claim 1 wherein said covariance function for an entire frame, if a maximum admissible value for the delay is lower than a frame length, or for a sample window with length equal to said maximum delay and including the respective frame, if the maximum delay is greater than frame length.

4. The method defined in claim 3 wherein a signal indicative of pitch period smoothing is generated at each frame and, during said long-term analysis, if a signal in a previous frame was voiced and had a pitch smoothing, a search is carried out for a secondary maximum of the weighted covariance function in a neighborhood of a value found for the previous frame, and a value corresponding to this secondary maximum is used as the delay if it differs by a quantity lower than a preset quantity from the covariance function maximum in a current frame.

5. The method defined in claim 4 wherein for the generation of said signal indicative of pitch smoothing a relative delay variation between two consecutive frames is computed for a preset number of frames which precede the current frame;

the absolute values of the relative delay variations are estimated;

the absolute values so obtained are compared with a delay threshold; and

the signal indicative of pitch period smoothing is generated if the absolute values are all greater than said delay threshold.

6. The method defined in claim 4 wherein a width of said neighborhood is a function of said delay threshold.

7. The method defined in claim 1 wherein for computation of said long-term prediction coefficient and gain thresholds in a frame, the prediction coefficient and gain values are scaled by respective preset factors;

the thresholds obtained at a previous frame and scaled values for both the coefficient and the gain are subjected to low-pass filtering, with a first filtering coefficient, able to originate a very long time constant compared with a frame duration, and respectively with a second filtering coefficient, which is a 1--complement of the first filter coefficient; and

the scaled and filtered values of the prediction coefficient and gain are added to a respective filtered threshold, a value resulting from the addition being a threshold updated value.

8. The method defined in claim 7 wherein the threshold values resulting from addition are clipped with respect to a maximum and a minimum value, and in a successive frame a value so clipped is subjected to low-pass filtering.

9. A device for speech signal digital coding, comprising:

means (TR) for dividing a sequence of speech signal digital samples into frames made up of a preset number of samples;

means for speech signal predictive analysis (AS), comprising circuits (ST) for generating at each frame, parameters representative of short-term spectral characteristics and a residual signal of short-term prediction, and circuits (LT1, LT2) which obtain from the residual signal parameters representative of long-term spectral characteristics comprising a long-term analysis delay or pitch period d, and a long-term prediction coefficient b and a gain G;

means for a-priori classification (CL) for recognizing whether a frame corresponds to an active speech period or to a silence period and whether an active speech period corresponds to a voiced or an unvoiced sound, the classification means (CL) comprising circuits (RA, RV) which generate a first and a second flag (A, V) for respectively signalling an active speech period and a voiced sound, and the circuits generating the second flag comprising means (CM1, CM2) for comparing the prediction coefficient and gain values with respective thresholds and emitting this flag when said values are both greater than the thresholds; and

speech coding units (CV), which generate a coded signal by using at least some of the parameters generated by the predictive analysis means (AS), and are driven by said flags (A, V) in order to insert into the coded signal different information according to the nature of the speech signal in the frame,

the circuits (LT1) for delay estimation computing said delay by maximizing a covariance function of a residual signal, computed inside a sample window with a length not lower than a maximum admissible value for the delay itself and weighted with a weighting function such as to reduce the probability that the maximum value computed is a multiple of the actual delay, and

said comparison means (CM1, CM2) in the circuits (RV) generating the second flag (V) carrying out the comparison frame by frame with variable thresholds and being provided with means (CS1, CS2) for threshold generation, the comparison and threshold generation means being enabled only in the presence of the first flag.

10. The device defined in claim 9 wherein said weighting function, for each admitted value of the delay, is a function of the type w(d)=d^log 2^Kw, where d is the delay and Kw is a positive constant lower than 1.

11. The device defined in claim 9 wherein long-term analysis delay computing circuits (LT1) are associated with means (GS) for recognizing a frame sequence with delay smoothing, and generating and providing said long-term analysis delay computing circuits (LT1) with a third flag (S) if, in said frame sequence, an absolute value of the relative delay variation between consecutive frames is always lower than a preset delay threshold.

12. The device defined in claim 11 wherein the delay computing circuits (LT1) carry out a correction of a delay value computed in a frame if in a previous frame the second and the third flags (V, S) were issued, and provide, as value to be used, a value corresponding to a secondary maximum of the weighted covariance function in a neighborhood of the delay value computed for the previous frame, if this maximum is greater than a preset fraction of the main maximum.

13. The device defined in claim 11 wherein the circuits (CS1, CS2) generating the prediction coefficient and gain thresholds comprise:

a first multiplier (M1) for scaling a coefficient or a gain by a respective factor;

a low-pass filter (S1, M2, D1, M3) for filtering the threshold computed for a previous frame and a scaled value, respectively according to a first filtering coefficient corresponding to a time constant with a value much greater than a length of a frame and to a second coefficient which is a ones complement of the first coefficient;

an adder (S2) which provides a current threshold value as a sum of the filtered signals; and

a clipping circuit (CT) for keeping a threshold value within a preset value interval.