Predictive speech signal coding with reduced noise effects

• US 4,133,976 A
• Filed: 04/07/1978
• Issued: 01/09/1979
• Est. Priority Date: 04/07/1978
• Status: Expired due to Term

• Current Assignee: Bell Telephone Laboratories, Inc. (Nokia Corporation)
• Original Assignee: Bell Telephone Laboratories, Inc. (Nokia Corporation)
• Inventors: Atal, Bishnu S., Schroeder, Manfred R.
• Primary Examiner(s): Claffy, Kathleen H.
• Assistant Examiner(s): Kemeny, E. S.
• Application Number:
  US05/894,329
• Time in Patent Office: 277 Days
• Field of Search: 179/1 P, 179/1 SA
• US Class Current: 704/226
• CPC Class Codes: G10L 19/04 using predictive techniques
• CPC Class Codes: G10L 19/06 Determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
• CPC Class Codes: H03M 3/042 with adaptable step size, e.g. adaptive differential pulse code modulation [ADPCM]
• CPC Class Codes: H04B 14/046 Systems or methods for reducing noise or bandwidth

Abstract

A predictive speech signal processor features an adaptive filter in a feedback network around the quantizer. The adaptive filter essentially combines the quantizing error signal, the formant related prediction parameter signals and the difference signal to concentrate the quantizing error noise in spectral peaks corresponding to the time-varying formant portions of the speech spectrum so that the quantizing noise is masked by the speech signal formants.

Claims

1. A predictive speech signal communication system comprising apparatus (135) for analyzing a speech signal in selected time intervals to generate a set of formant related prediction parameter signals for each interval;

circuitry (107,109) jointly responsive to said speech signal and said formant related prediction parameter signals for producing a signal representative of the difference between said speech signal and its predicted value;

a modifying circuit (137) for modifying said difference representative signal;

a quantizer (111) responsive to said modified difference signal for generating a quantized signal; and

a subtracter circuit (113) for forming a quantizing error signal corresponding to the difference between said quantized and unquantized modified difference signal CHARACTERIZED IN THAT said modifying circuit (137) is jointly responsive to said formant related prediction parameter signals, said quantizing error signal and said difference signal to concentrate the quantizing error in the formant portions of said speech signal spectrum whereby the quantizing error is masked by said speech signal formants.

2. A predictive speech signal communication system according to claim 1 further CHARACTERIZED IN THAT said modifying circuit (137) comprises means (120, 122, 124) jointly responsive to said formant related prediction parameter signals and said quantizing error signal for forming a formant weighted error signal, and means (126) for combining said formant weighted error signal with said difference signal to concentrate the quantizing error in the formant portions of the speech signal spectrum to maintain the speech signal to quantizing error ratio above a predetermined level throughout the speech signal spectrum.

3. A predictive speech signal communication system according to claim 2 further CHARACTERIZED IN THAT said formant weighted error signal forming means (120, 122, 124) comprises means (122) responsive to said formant related prediction parameter signals for generating a set of adaptive filter parameter signals, and means (120) jointly responsive to said adaptive filter parameter signals and said quantizing error signal for forming said formant weighted quantizing error signal;

and said combining means (126) is adapted to subtract said formant weighted error signal from said difference signal.

4. A predictive speech communication system according to claim 3 further CHARACTERIZED IN THAT said adaptive filter parameter signal generating means (122) is adapted to form a set of filter parameter signals f₁, f₂, . . . , f_p, f_p+1 in accordance with the predetermined relationship ##EQU18## where z^-1 represents a delay unit, a_k is the k^th formant related prediction parameter signal, and p is the number of predictive parameter signals.

5. A predictive parameter speech communication system according to claim 4 further CHARACTERIZED IN THAT said formant weighted quantizing error signal forming means (120) comprises a transversal filter circuit adapted to form a formant weighted quantizing error signal ##EQU19## where w_n is the present formant weighted quantizing error signal value and e_n is the present quantizing error signal value.

6. A predictive speech signal communication system according to any of claims 2 through 5 further CHARACTERIZED IN THAT said analyzing means (135) is also adapted to generate a set of pitch related prediction parameter signals b₁, b₂, b₃ and a pitch period related signal m and said modifying means (137) further comprises a voice periodicity predictor (128) responsive to said quantized signal, pitch related prediction parameter signals b₁, b₂ and b₃ and said pitch period related signal m for forming a signal

7. A predictive speech signal communication system according to claim 6 further comprising means (203, 205, 217) responsive to said quantized signal for producing an excitation signal and means (215, 219, 207) jointly responsive to said excitation signal and said formant related predictive parameter signals for forming a replica of said speech signal CHARACTERIZED IN THAT said excitation signal producing means (213, 217, 205) includes a voice periodicity predictor (217) responsive to said quantized signal, said pitch related prediction parameter signals and said pitch period related signal for forming a signal corresponding to the predicted value of said difference signal and means (205) for combining said predicted value of said difference signal with said quantized signal.

8. A method for processing a speech signal comprising the steps of analyzing said speech signal in selected intervals to generate a set of formant related prediction parameter signals for each interval;

producing a signal representative of the difference between the present speech signal and its predicted value responsive to said speech signal and said formant related prediction parameter signals;

modifying said difference signal;

quantizing said modified difference signal; and

forming a quantizing error signal corresponding to the difference between said quantized and unquantized modified difference signals CHARACTERIZED IN THAT the modification of said difference signal includes combining said formant related prediction parameter signals, said quantizing error signal and said difference signal to concentrate the quantizing error in the formant portions of said speech signal spectrum so that the quantizing error is masked by said speech signal formants.

9. A method for processing a speech signal according to claim 8 further CHARACTERIZED IN THAT said difference signal modification includes forming a formant weighted quantizing error signal from said formant related prediction parameter signals and said quantizing error signal, and combining said formant weighted error signal with said difference signal to concentrate the quantizing error in the formant portions of said speech signal spectrum so that the speech signal to quantizing error ratio is maintained above a predetermined level throughout said speech signal spectrum.

10. A method for processing a speech signal according to claim 9 further CHARACTERIZED IN THAT said formant weighted error signal formation includes generating a set of adaptive filter parameter signals responsive to said formant related prediction parameter signals, and weighting said quantizing error signals with said adaptive filter parameter signals;

and the combining of said difference signal with said formant weighted error signal includes subtracting said formant weighted error signal from said difference signal.

11. A method for processing a speech signal according to claim 10 further CHARACTERIZED IN THAT the generation of said adaptive filter parameter signals includes forming a set of filter parameter signals f₁, f₂, . . . , f_p, f_p+1 in accordance with the relationship ##EQU20## when z^-1 represents a prescribed delay, a_k is the k^th formant related prediction parameter signal, and p is the number of formant related prediction parameter signals.

12. A method for processing a speech signal according to claim 11 further CHARACTERIZED IN THAT the formation of said formant weighted quantizing error signal includes filtering said quantizing error signal in accordance with the relationship ##EQU21## where w_n is the present value of the formant weighted quantizing error signal and e_n is the present value of the quantizing error signal.

13. A method for processing a speech signal according to any of claims 9 through 12 further CHARACTERIZED IN THAT said speech signal analysis includes forming a set of pitch related prediction parameter signals b₁, b₂, b₃ and a pitch period related signal m for each interval, said difference signal modification includes producing a signal corresponding to the predicted value of said difference signal in accordance with the relationship

14. A method for processing a speech signal according to claim 13 further including the steps of producing an excitation signal responsive to said quantized signal and forming a replica of said speech signal by combining said excitation signal with said formant related prediction parameter signals CHARACTERIZED IN THAT said excitation producing step comprises forming a signal corresponding to the predicted value of said difference signal from the preceding portion of said quantized signal, said pitch related prediction parameter signals b₁, b₂, b₃ and said pitch related signal m and combining the present quantized signal with said predicted value of difference signal.