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Methods and apparatus for echo cancellation using an adaptive lattice based non-linear processor

a non-linear processor and adaptive technology, applied in the field of speech signal management, can solve the problems of ineffective management of speech signals, inability to remove speech signals completely, and suppressed too much energy, so as to achieve the effect of effective management of speech signals

Inactive Publication Date: 2006-07-06
TANRIKULU OGUZ +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This approach effectively removes residual echoes while maintaining the integrity of background signals, enhancing voice quality by using a combination of adaptive lattice filters, signum non-linearity, and noise injection to manage speech signals with both residual echoes and background noise.

Problems solved by technology

However, adaptive methods employed in echo-cancellers (ECs) may have problems removing echoes of speech signals completely due to the fundamental limitations related with convergence speed and steady-state performance.
However, in removing a residual echo signal, too much energy may be suppressed.
Because the noise injection scheme in the NLP may not completely restore the integrity of the background signal to an acceptable level, a non-consistent background may be produced.

Method used

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  • Methods and apparatus for echo cancellation using an adaptive lattice based non-linear processor
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  • Methods and apparatus for echo cancellation using an adaptive lattice based non-linear processor

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Embodiment Construction

[0020]FIG. 3 illustrates a concept of an exemplary embodiment of the present invention. It is a block diagram showing whitening of a speech signal s(n). In FIG. 3, input speech signal s(n) at line 301 is filtered by filter L(z) 302 and s′(n) at line 303 is a prediction error signal which is essentially whiter than the input. The input speech signal s(n) can be described in the following equation:

s(n)=rr(n)+w(n)

where re(n) is residual echo after cancellation and w(n) is the correlated near-end background noise signal and s′(n) is the sum of the two. The optimal filter L(z) is computed during portions of background noise and the prediction error signal s′(n) is not completely white in general, and how much the prediction error signal is whitened depends on the order of L(z) used. An optimal filter L(z) essentially models the spectral envelope of its input signal.

[0021] In obtaining the optimal coefficients for a filter L(z), an exemplary embodiment of the present invention employs...

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Abstract

A non-linear processor for managing a speech signal is disclosed. The non-linear processor includes an adaptive lattice filter that generates a prediction error from a residual echo of the speech signal, a signum non-linearity unit that generates an excitation component from the prediction error, an excitation signal mixer that generates an excitation signal from the excitation component and a noise component, an inverse lattice filter that generates a modified residual echo from the excitation signal, and a gain adjuster that adjusts a power of the modified residual echo.

Description

RELATED APPLICATIONS [0001] This patent application is a continuation of and claims priority to the co-pending non-provisional patent application having the assigned Ser. No. 10 / 121,437, filed on Apr. 11, 2002, which claims priority to the provisional patent application having the assigned Ser. No. 60 / 283,321 filed on Apr. 12, 2001, entitled “BETTER SIGNAL TRANSPARENCY THROUGH ADAPTIVE LATTICE BASED NON-LINEAR PROCESSOR (AL-NLP) FOR ECHO CANCELLATION”.FIELD OF THE INVENTION [0002] The present invention relates to the field of speech signal management. More specifically, the present invention relates to echo cancellation in speech signal management. BACKGROUND OF THE INVENTION [0003] Adaptive methods such as adaptive filters are employed in echo-cancellers because adaptive methods can adjust their algorithms according to fluctuations in incoming speech signals. However, adaptive methods employed in echo-cancellers (ECs) may have problems removing echoes of speech signals completely d...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G10L15/20H04M9/08
CPCH04M9/082
Inventor TANRIKULU, OGUZDELLAMORTE, JOHN O. JR.
Owner TANRIKULU OGUZ