Packet based echo cancellation and suppression

Abstract

In a method for echo suppression or cancellation, a reference voice packet is selected from a plurality of reference voice packets based on at least one encoded voice parameter associated with each of the plurality of reference voice packets and the targeted voice packet. Echo in the targeted packet is suppressed or cancelled based on the selected reference voice packet.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention will become more fully understood from the detailed description given herein below and the accompanying drawings, wherein like elements are represented by like reference numerals, which are given by way of illustration only and thus are not limiting of the present invention and wherein:

FIG. 1 is a diagram of a voice over packet network including a conventional echo canceller/suppressor;

FIG. 2 illustrates an echo canceller/suppressor, according to an example embodiment; and

FIG. 3 illustrates a method for echo cancellation/suppression, according to an example embodiment.

DETAILED DESCRIPTION OF THE EXAMPLE EMBODIMENTS

Methods and apparatuses, according to example embodiments, may perform echo cancellation and/or echo suppression depending on, for example, the particular application within a packet switched communication system. Example embodiments will be described herein as echo cancellation/suppression, an echo canceller/suppressor, etc.

Hereinafter, for example purposes, vocoder packets suspected of carrying echoed voice information (e.g., voice information received at the near end and echoed back to the far end) will be referred to as targeted packets, and coding parameters associated with these targeted packets will be referred to as targeted packet parameters. Vocoder or parameter packets associated with originally transmitted voice information (e.g., potentially echoed voice information) from the far end used to determine whether targeted packets include echoed voice information will be referred to as reference packets. The coding parameters associated with the reference packets will be referred to as reference packet parameters.

As discussed above, FIG. 1 illustrates a voice over packet network diagram including a conventional echo canceller/suppressor. Methods according to example embodiments may be implemented at existing echo cancellers/suppressors, such as the echo canceller/suppressor 100 shown in FIG. 1. For example, example embodiments may be implemented on existing Digital Signal Processors (DSPs), Field Programmable Gate Arrays (FPGAs), etc. In addition, example embodiments may be used in conjunction with any type of terrestrial or wireless packet switched network, such as, a VoIP network, a VoATM network, TrFO networks, etc.

One example vocoder used to encode voice information is a Code Excited Linear Prediction (CELP) based vocoder. CELP-based vocoders encode digital voice information into a set of coding parameters. These parameters include, for example, adaptive codebook and fixed codebook gains, pitch/adaptive codebook, linear spectrum pairs (LSPs) and fixed codebooks. Each of these parameters may be represented by a number of bits. For example, for a full-rate packet of Enhanced Variable Rate CODEC (EVRC) vocoder, which is a well-known vocoder, the LSP is represented by 28 bits, the pitch and its corresponding delta are represented by 12 bits, the adaptive codebook gain is represented by 9 bits and the fixed codebook gain is represented by 15 bits. The fixed codebook is represented by 120 bits.

Referring still to FIG. 1, if echoed speech signals are present during encoding of voice information by the CELP vocoder at the near end, at least a portion of the transmitted vocoder packets may include echoed voice information. The echoed voice information may be the same as or similar to originally transmitted voice information, and thus, vocoder packets carrying the transmitted voice information from the near end to the far end may be similar, substantially similar to or the same as vocoder packets carrying originally encoded voice information from the far end to the near end. That is, for example, the bits in the original vocoder packet may be similar, substantially similar, or the same as the bits in the corresponding vocoder packet carrying the echoed voice information.

Packet domain echo cancellers/suppressors and/or methods for the same, according to example embodiments, utilize this similarity in cancelling/suppressing echo in transmitted signals by adaptively adjusting coding parameters associated with transmitted packets.

For example purposes, example embodiments will be described with regard to a CELP-based vocoder such as an EVRC vocoder. However, methods and/or apparatuses, according to example embodiments, may be used and/or adapted to be used in conjunction with any suitable vocoder.

FIG. 2 illustrates an echo canceller/suppressor, according to an example embodiment. As shown, the echo canceller/suppressor of FIG. 2 may buffer received original vocoder packets (reference packets) from the far end in a reference packet buffer memory 202. The echo canceller/suppressor may buffer targeted packets from the near end in a targeted packet buffer memory 204. The echo canceller/suppressor of FIG. 2 may further include an echo cancellation/suppression module 206 and a memory 208.

The echo cancellation/suppression module 206 may cancel/suppress echo from a signal (e.g., transmitted and/or received) signal based on at least one encoded voice parameter associated with at least one reference packet stored in the reference packet buffer memory 202 and at least one targeted packet stored in the targeted packet buffer 204. The echo cancellation/suppression module 206, and methods performed therein, will be discussed in more detail below.

The memory 208 may store intermediate values and/or voice packets such as voice packet similarity metrics, corresponding reference voice packets, targeted voice packets, etc. In at least on example embodiment, the memory 208 may store individual similarity metrics and/or overall similarity metrics. The memory 208 will be described in more detail below.

Returning to FIG. 2, the length of the buffer memory 204 may be determined based on a trajectory match length for a trajectory searching/matching operation, which will be described in more detail below. For example, if each vocoder packet carries a 20 ms voice segment and the trajectory match length is 120 ms, the buffer memory 204 may hold 6 targeted packets.

The length of the buffer memory 202 may be determined based on the length of the echo tail, network delay and the trajectory match length. For example, if each vocoder packet carries a 20 ms voice segment, the echo tail length is equal to 180 ms and the trajectory match length is 120 ms (e.g., 6 packets), the buffer memory 202 may hold 15 reference packets. The maximum number of packets that may be stored in buffer 202 for reference packets may be represented by m.

Although FIG. 2 illustrates two buffers 202 and 204, these buffers may be combined into a single memory.

In at least one example, the echo tail length may be determined and/or defined by known network parameters of echo path or obtained using an actual searching process. Methods for determining echo tail length are well-known in the art. After having determined the echo tail length, methods according to at least some example embodiments may be performed within a time window equal to the echo tail length. The time window width may be equivalent to, for example, one or several transmission frames in length, or one or several packets in length. For example purposes, example embodiments will be described assuming that the echo tail length is equivalent to the length of a speech signal transmitted in a single transmission frame.

Example embodiments may be applicable to any echo tail length by matching reference packets stored in buffer 202 with targeted packets carrying echoed voice information. Whether a targeted packet contains echoed voice information may be determined by comparing a targeted packet with each of m reference packets stored in the buffer 202.

FIG. 3 is a flow chart illustrating a method for echo cancellation/suppression, according to an example embodiment. The method shown in FIG. 3 may be performed by the echo cancellation/suppression module 206 shown in FIG. 2.

Referring to FIG. 3, at S302, a counter value j may be initialized to 1. At S304, a reference packet R_j may be retrieved from the buffer 202. At S306, the echo cancellation/suppression module 206 may compare the counter value j to a threshold value m. As discussed above, m may be equal to the number of reference packets stored in the buffer 202. In this example, because the number of reference packets m stored in the buffer 202 is equal to the number of reference packets transmitted in a single transmission frame, the threshold value m may be equal to the number of packets transmitted in a single transmission frame. In this case, the value m may be extracted from the transmission frame header included in the transmission frame as is well-known in the art.

At S306, if the counter value j is less than or equal to threshold value m, the echo cancellation/suppression module 206 extracts the encoded parameters from reference packet R_j at S308. Concurrently, at S308, the echo cancellation/suppression module 206 extracts encoded coding parameters from the targeted packet T. Methods for extracting these parameters are well-known in the art. Thus, a detailed discussion has been omitted for the sake of brevity. As discussed above, example embodiments are described herein with regard to a CELP-based vocoder. For a CELP-based encoder, the reference packet parameters and the targeted packet parameters may include fixed codebook gains G_f, adaptive codebook gains G_a, pitch P and an LSP.

Still referring to FIG. 3, at S309, the echo cancellation/suppression module 206 may perform double talk detection based on a portion of the encoded coding parameters extracted from the targeted packet T and the reference packet R_j to determine whether double talk is present in the reference packet R_j. During voice segments including double talk, echo cancellation/suppression need not be performed because echoed far end voice information is buried in the near end voice information, and thus, is imperceptible at the far end.

Double talk detection may be used to determine whether a reference packet R_j includes double talk. In an example embodiment, double talk may be detected by comparing encoded parameters extracted from the targeted packet T and encoded parameters extracted from the reference packet R_j. In the above-discussed CELP vocoder example, the encoded parameters may be fixed codebook gains G_f and adaptive codebook gains G_a.

The echo cancellation/suppression module 206 may determine whether double talk is present according to the conditions shown in Equation (1):

$\begin{array}{cc}\{\begin{array}{cc}\mathrm{DT}=1,& \mathrm{if}G_{\mathrm{fR}}-G_{\mathrm{fT}}<{\Delta }_f;\\ \mathrm{DT}=1,& \mathrm{if}G_{\mathrm{aR}}-G_{\mathrm{aT}}<{\Delta }_a;\\ \mathrm{DT}=0,& \mathrm{otherwise}\end{array}& \left(1\right)\end{array}$

According to Equation (1), if the difference between the fixed codebook gain G_jR for the reference packet R_j and the fixed codebook gain G_fT for the targeted packet T is less than a fixed codebook gain threshold value Δ_f, double talk is present in the reference packet R_j and the double talk detection flag DT may be set to 1 (e.g., DT=1). Similarly, if the difference between the adaptive codebook gain G_αR for the reference packet R_j and the adaptive codebook gain G_αT for the targeted packet T is less than an adaptive codebook gain threshold value Δ_a, double talk is present in the reference packet R_j and the double talk detection flag DT may be set to 1 (e.g., DT=1). Otherwise, double talk is not present in the reference packet R_j and the double talk detection flag may not be set (e.g., DT=0).

Referring back to FIG. 3, if the double talk detection flag DT is not set (e.g., DT=0) at S310, a similarity evaluation between the encoded parameters extracted from the targeted packet T and the encoded parameters extracted from the reference packet R_j may be performed at S312. The similarity evaluation may be used to determine whether to set each of a plurality of similarity flags based on the encoded parameters extracted from the targeted packet T, the encoded parameters extracted from the reference packet R_j and similarity threshold values.

The similarity flags may be referred to as similarity indicators. The similarity flags or similarity indicators may include, for example, a pitch similarity flag (or indicator) PM and a plurality of LSP similarity flags (or indicators). The plurality of LSP similarity flags may include a plurality of bandwidth similarity flags BM_i and a plurality of frequency similarity matching flags FM_i.

Still referring to S312 of FIG. 3, the cancellation/suppression module 206 may determine whether to set the pitch similarity flag PM for the reference packet R_j according to Equation (2):

$\begin{array}{cc}\{\begin{array}{cc}\mathrm{PM}=1,& \mathrm{if}P_T-P_R\le {\Delta }_p;\\ \mathrm{PM}=0,& \mathrm{if}P_T-P_R>{\Delta }_p;\end{array}& \left(2\right)\end{array}$

As shown in Equation (2), P_T is the pitch associated with the targeted packet, P_R is the pitch associated with the reference packet R_j and Δ_p is a pitch threshold value. The pitch threshold value Δ_p may be determined based on experimental data obtained according to the specific type of vocoder used. As shown in Equation (2), if the absolute value of the difference between the pitch P_T and the pitch P_R is less than or equal to the threshold value Δ_p, the pitch PT is similar to the pitch P_R and the pitch similarity flag PM may be set to 1. Otherwise, the pitch similarity flag PM may be set to 0.

Referring still to S312 of FIG. 3, similar to the above described pitch similarity evaluation method, an LSP similarity evaluation may be used to determine whether the reference packet R_j is similar to a targeted packet T.

Generally, a CELP vocoder utilizes a 10^th order Linear Predictive Coding (LPC) predictive filter, which encodes 10 LSP values using vector quantization. In addition, each LSP pair defines a corresponding speech spectrum formant. A formant is a peak in an acoustic frequency spectrum resulting from the resonant frequencies of any acoustic system. Each particular formant may be expressed by bandwidth B_i given by Equation (3):

B _i =LSP _2i −LSP _2i-1, i=1, 2, . . . , 5;  (3)

and center frequency F_i given by Equation (4):

$\begin{array}{cc}{F}_i=\frac{{\mathrm{LSP}}_{2i}+{\mathrm{LSP}}_{2i-1}}{2},i=1,2,\dots ,5;& \left(4\right)\end{array}$

As shown in Equations (3) and (4), B_i is the bandwidth of i-th formant, F_i is the center frequency of i-th formant, and LSP_2i and LSP_2i-1 are the i-th pair of LSP values.

In this example, for a 10^th order LPC predictive filter, 5 pairs of LSP values may be generated.

Each of the first three formants may include significant or relatively significant spectrum envelope information for a voice segment. Consequently, LSP similarity evaluation may be performed based on the first three formants i=1, 2 and 3.

A bandwidth similarity flag BM_i, indicating whether a bandwidth B_Ti associated with a targeted packet T is similar to a bandwidth B_Ri associated with the reference packet R_j, for each formant i for i=1, 2, 3, may be set according to Equation (5):

$\begin{array}{cc}\{\begin{array}{cc}{\mathrm{BM}}_i=1,& \mathrm{if}B_{\mathrm{Ti}}-B_{\mathrm{Ri}}\le {\Delta }_{\mathrm{Bi}};\\ {\mathrm{BM}}_i=0,& \mathrm{if}B_{\mathrm{Ti}}-B_{\mathrm{Ri}}>{\Delta }_{\mathrm{Bi}};\end{array}i=1,2,3.& \left(5\right)\end{array}$

As shown in Equation (5), B_Ti is the i-th bandwidth associated with targeted packet T, B_Ri is the i-th bandwidth associated with reference packet R_j and Δ_Bi is the i-th bandwidth threshold used to determine whether the bandwidths B_Ti and B_Ri are similar. If BM_i=1, both i-th bandwidths B_Ti and B_Ri are within a certain range of one another and may be considered similar. Otherwise, when BM_i=0, the i-th bandwidths B_Ti and B_Ri may not be considered similar. Similar to the pitch threshold, each bandwidth threshold may be determined based on experimental data obtained according to the specific type of vocoder used.

Referring still to S312 of FIG. 3, whether an i-th frequency associated with the targeted packet T is similar to a corresponding i-th frequency associated with the reference packet R_j may be indicated by a frequency similarity flag FM_i. The frequency similarity flag FM_i may be set according to Equation (6):

$\begin{array}{cc}\{\begin{array}{cc}{\mathrm{FM}}_i=1,& \mathrm{if}F_{\mathrm{Ti}}-F_{\mathrm{Ri}}\le {\Delta }_{\mathrm{Fi}};\\ {\mathrm{FM}}_i=0,& \mathrm{if}F_{\mathrm{Ti}}-F_{\mathrm{Ri}}>{\Delta }_{\mathrm{Fi}};\end{array}i=1,2,3.& \left(6\right)\end{array}$

In Equation (6), F_Ti is the i-th center frequency associated with targeted packet T, F_Ri is the i-th center frequency associated with reference packet R_j and Δ_Fi is an i-th center frequency threshold. The i-th center frequency threshold Δ_Fi may be indicative of the similarity between i-th target and reference center frequencies F_Ti and F_Ri, for i=1, 2 and 3. Similar to the pitch threshold and bandwidth thresholds, the frequency thresholds may be determined based on experimental data obtained according to the specific type of vocoder used.

FM_i is a center frequency similarity flag for the i-th bandwidth for a corresponding LSP pair. According to Equation (6), an FM_i=1 indicates that F_Ti and F_Ri are similar, whereas FM_i=0, indicates that F_Ti and F_Ri are not similar.

Returning to FIG. 3, if at S314 it is determined that each of the plurality of parameter similarity flags PM, BM_i and FM_i are set equal to 1, the reference packet R_j may be considered similar to the targeted packet T. In other words, the reference packet R_j is similar to targeted packet T if each of the parameter similarity indicators PM, BM_i and FM_i indicate such.

The echo cancellation/suppression module 206 may then calculate an overall voice packet similarity metric at S316. The overall voice packet similarity metric may be, for example, an overall similarity metric S_j. The overall similarity metric S_j may indicate the overall similarity between targeted packet T and reference packet R_j.

In at least one example embodiment, the overall similarity metric S_j associated with reference packet R_j may be calculated based on a plurality of individual voice packet similarity metrics. The plurality of individual voice packet similarity metrics may be individual similarity metrics.

The plurality of individual similarity metrics may be calculated based on at least a portion of the encoded parameters extracted from the targeted packet T and the reference packet R_j. In this example embodiment, the plurality of individual similarity metrics may include a pitch similarity metric S_p, bandwidth similarity metrics S_Bi, for i=1, 2 and 3, and frequency similarity metrics S_Fi, for i=1, 2 and 3. Each of the plurality of individual similarity metrics may be calculated concurrently.

For example the pitch similarity metric S_p may be calculated according to Equation (7):

$\begin{array}{cc}{S}_P=\frac{P_T-P_R}{P_T+P_R}& \left(7\right)\end{array}$

The bandwidth similarity S_Bi for each of i formants may be calculated according to Equation (8):

$\begin{array}{cc}{S}_{\mathrm{Bi}}=\frac{B_{\mathrm{Ti}}-B_{\mathrm{Ri}}}{B_{\mathrm{Ti}}+B_{\mathrm{Ri}}}i=1,2,3.& \left(8\right)\end{array}$

As shown in Equation (8) and as discussed above, B_Ti is the bandwidth of i-th formant for targeted packet T, and B_Ri is the bandwidth of i-th formant for reference packet R_j.

Similarly, the center frequency similarity S_Fi for each of i formants may be calculated according to equation (9):

$\begin{array}{cc}{S}_{\mathrm{Fi}}=\frac{F_{\mathrm{Ti}}-F_{\mathrm{Ri}}}{F_{\mathrm{Ti}}+F_{\mathrm{Ri}}}i=1,2,3;& \left(9\right)\end{array}$

As shown in Equation (9) and as discussed above, F_Ti is the center frequency for the i-th formant for the targeted packet T and F_Ri is the center frequency of the i-th formant for the reference packet R_j.

After obtaining the plurality of individual similarity metrics, the overall similarity matching metric S_j may be calculated according to Equation (10):

$\begin{array}{cc}S={\alpha }_pS_p+{\alpha }_{\mathrm{LSP}}\sum _i^{}\frac{{\beta }_{\mathrm{Bi}}S_{\mathrm{Bi}}+{\beta }_{\mathrm{Fi}}S_{\mathrm{Fi}}}{2};& \left(10\right)\end{array}$

In Equation (10), each individual similarity metric may be weighted by a corresponding weighting function. As shown, α_p is a similarity weighting constant for pitch similarity metric S_p, α_LSP is an overall similarity weighting constant for LSP spectrum similarity metrics S_Bi and S_Fi, β_Bi is an individual similarity weighting constant for the bandwidth similarity metric S_Bi and β_Fi is an individual similarity weighting constant for frequency similarity metric S_Fi.

The similarity weighting constants α_p and α_LSP may be determined so as to satisfy Equation (11) shown below.

α_p+α_LSP=1;  (11)

Similarly, individual similarity weighting constants β_Bi and β_Fi may be determined so as to satisfy Equation (12) shown below.

β_Bi+β_Fi=1; i=1, 2, 3;  (12)

According to at least some example embodiments, the weighting constants may be determined and/or adjusted based on empirical data such that Equations (11) and (12) are satisfied.

Returning to FIG. 3, at S318, the echo cancellation/suppression module 206 may store the calculated overall similarity metric S_j in memory 208 of FIG. 2. The memory 208 may be any well-known memory, such as, a buffer memory. The counter value j is incremented j=j+1 at S320, and the method returns to S304.

Returning to S314 of FIG. 3, if any of the parameter similarity flags are not set, the echo cancellation/suppression module 206 determines that the reference packet R_j is not similar to the targeted packet T, and thus, the targeted packet T is not carrying echoed voice information corresponding to the original voice information carried by reference packet R_j. In this case, the counter value j may be incremented (j=j+1), and the method proceeds as discussed above.

Returning to S310 of FIG. 3, if double talk is detected in the reference packet R_j, the reference packet R_j may be discarded at S311, the counter value j may be incremented j=j+1 at S320 and the echo cancellation/suppression module 206 retrieves the next reference packet R_j from buffer 202, at S304. After retrieving the next reference packet R_j from the buffer 202, the process may proceed to S306 and repeat.

Returning to S306, if the counter value j is greater than threshold m, a vector trajectory matching operation may be performed at S321. Trajectory matching may be used to locate a correlation between a fixed codebook gain for the targeted packet and each fixed codebook gain for the stored reference packets. Trajectory matching may also be used to locate a correlation between the adaptive codebook gain for the targeted packet and the adaptive codebook gain for each reference packet vector. According to at least one example embodiment, vector trajectory matching may be performed using a Least Mean Square (LMS) and/or cross-correlation algorithm to determine a correlation between the targeted packet and each similar reference packet. Because LMS and cross-correlation algorithms are well-known in the art, a detailed discussion thereof has been omitted for the sake of brevity.

In at least one example embodiment, the vector trajectory matching may be used to verify the similarity between the targeted packet and each of the stored similar reference packets. In at least one example embodiment, the trajectory vector matching at S321 may be used to filter out similar reference packets failing a correlation threshold. Overall similarity metrics S_j associated with stored similar reference packets failing the correlation threshold may be removed from the memory 208. The correlation threshold may be determined based on experimental data as is well-known in the art.

Although the method of FIG. 3 illustrates a vector trajectory matching step at S321, this step may be omitted as desired by one of ordinary skill in the art.

At S322, the remaining stored overall similarity metrics S_j in the memory 208 may be searched to determine which of the similar reference packets includes echoed voice information. In other words, the similar reference packets may be searched to determine which reference packet matches the targeted packet. In example embodiments, the reference packet matching the targeted packet may be the reference packet with the minimum associated overall similarity metric S_j.

If the similarity metrics S_J are indexed in the memory (methods for doing which are well-known, and omitted for the sake of brevity) by targeted packet T and reference packet R_j, the overall similarity metrics may be expressed as S(T, R_j), for j=1, 2, 3 . . . m.

Representing the overall similarity metrics as S(T, R_j), for j=1, 2, 3 . . . m, the minimum overall similarity metric S_min may be obtained using Equation (13):

S _min=MIN[S(T,R_j), j=0, 1, . . . , m].  (13)

Returning again to FIG. 3, after locating the matching reference packet, the echo cancellation/suppression module 206 may cancel/suppress echo based on a portion of the encoded parameters extracted from the matching reference packet at S324. For example, echo may be cancelled/suppressed by adjusting (e.g., attenuating) gains associated with the targeted packet T. The gain adjustment may be performed based on gains associated with the matched reference packet, a gain weighting constant and the overall similarity metric associated with the matching reference packet.

For example, echo may be cancelled/suppressed by attenuating adaptive codebook gains as shown in Equation (14):

G _fR ′=W _f S*G _fR j  (14)

and/or fixed codebook gains as shown in Equation (15):

G _aR ′=W _α S*G _αR  (15)

As shown in Equation (14), G_fR′ is an adjusted gain for a fixed codebook associated with a reference packet, and W_f is the gain weighting for the fixed codebook.

As shown in Equation (15), G_αR′ is the adjusted gain for the adaptive codebook associated with the reference packet and W_α is the gain weighting for the adaptive codebook. Initially, both W_f and W_α may be equal to 1. However, these values may be adaptively adjusted according to, for example, speech characteristics (e.g., voiced or unvoiced) and/or the proportion of echo in targeted packets relative to reference packets.

According to example embodiments, adaptive codebook gains and fixed codebook gains of targeted packets are attenuated. For example, based on the similarity of a reference and targeted packet, gains of adaptive and fixed codebooks in targeted packets may be adjusted.

According to example embodiments, echo may be canceled/suppressed using extracted parameters in the parametric domain without decoding and re-encoding the targeted voice signal.

Although only a single iteration of the method shown in FIG. 3 is discussed above, the method of FIG. 3 may be performed for each reference packet R_j stored in the buffer 202 and each targeted packet T stored in the buffer 204. That is, for example, the plurality of reference packets stored in the buffer 202 may be searched to find a reference packet matching each of the targeted packets in the buffer 204.

The invention being thus described, it will be obvious that the same may be varied in many ways. Such variations are not to be regarded as a departure from the invention, and all such modifications are intended to be included within the scope of the invention.

Claims

1. A method for suppressing echo, the method comprising: selecting, from a plurality of reference voice packets, a reference voice packet based on at least one encoded voice parameter associated with each of the plurality of reference voice packets and a targeted voice packet; andsuppressing echo in the targeted voice packet based on the selected reference voice packet.

2. The method of claim 1, wherein the echo is suppressed by adjusting the at least one encoded voice parameter associated with the targeted voice packet based on the at least one encoded voice parameter associated with the selected reference voice packet.

3. The method of claim 2, wherein the echo is suppressed by adjusting a plurality of encoded voice parameters associated with the targeted voice packet based on a corresponding plurality of encoded voice parameters associated with the selected reference voice packet.

4. The method of claim 2, wherein the at least one encoded voice parameter associated with the targeted voice packet is a codebook gain.

5. The method of claim 1, wherein the echo is suppressed by adjusting a gain of the at least one encoded voice parameter associated with the targeted voice packet based on a corresponding at least one encoded voice parameters associated with the selected reference voice packet.

6. The method of claim 1, wherein the selecting step comprises: extracting at least one encoded voice parameter from the targeted packet and each of the plurality of reference voice packets;calculating, for each of a number of reference voice packets within the plurality of reference voice packets, at least one voice packet similarity metric based on the encoded voice parameter extracted from the reference voice packet and the targeted voice packet; andselecting the reference voice packet based on the calculated voice packet similarity metric.

7. The method of claim 6, further comprising: determining which of the plurality of reference voice packets are similar to the targeted voice packet based on the encoded voice parameter associated with each reference voice packet and the targeted voice packet to generate the number of reference voice packets for which to calculate the at least one voice packet similarity metric.

8. The method of claim 1, wherein the selecting step comprises: determining which of the plurality of reference voice packets are similar to the targeted voice packet based on the at least one encoded voice parameter associated with each of the plurality of reference voice packets and the targeted voice packet to generate a set of reference voice packets; andselecting the reference voice packet from the set of reference voice packets.

9. The method of claim 8, wherein the determining step comprises: for each reference voice packet, setting at least one similarity indicator based on the at least one encoded voice parameter associated with the targeted voice packet and the at least one encoded voice parameter associated with the reference voice packet; anddetermining whether the reference voice packet is similar to the targeted voice packet based on the similarity indicator.

10. The method of claim 8, wherein the at least one encoded voice parameter associated with the reference voice packets includes at least one of a codebook gain, pitch, bandwidth and frequency.

11. The method of claim 8, wherein the determining step further comprises: determining if double talk is present in each of the plurality of reference voice packets; anddetermining a reference voice packet is not similar to the targeted voice packet if double talk is present.

12. The method of claim 11, wherein double talk is present in a reference voice packet if a difference between a codebook gain associated with the reference voice packet and a codebook gain associated with the targeted voice packet is less than a threshold value.

13. The method of claim 8, wherein the at least one encoded voice parameter includes at least pitch, and the determining step further comprises: for each reference voice packet, calculating an absolute value of a difference between a pitch associated with the targeted voice packet and a pitch associated with the reference voice packet, anddetermining whether the reference voice packet is similar to the targeted voice packet based on the calculated absolute value and a pitch threshold.

14. The method of claim 8, wherein the at least one encoded voice parameter includes at least a bandwidth, and the determining step further comprises: for each of the plurality of reference voice packets, calculating at least one absolute value of a difference between a bandwidth associated with the targeted voice packet and a bandwidth associated with the reference voice packet, anddetermining whether the reference voice packet is similar to the targeted voice packet based on the at least one absolute value and a bandwidth threshold.

15. The method of claim 14, wherein the bandwidth associated with the reference voice packet is a bandwidth of a formant for voice information represented by the reference voice packet, and the bandwidth associated with the targeted voice packet is a bandwidth associated with a formant for voice information represented by the targeted voice packet.

16. The method of claim 8, wherein the at least one encoded voice parameter includes at least a frequency, and the determining step further comprises: for each of the plurality of reference voice packets, calculating at least one absolute value of a difference between a frequency associated with the targeted voice packet and a frequency associated with the reference voice packet, anddetermining whether the reference voice packet is similar to the targeted voice packet based on the at least one absolute value and a frequency threshold.

17. The method of claim 16, wherein the at least one frequency associated with the reference voice packet is a center frequency of at least one formant for voice information represented by the reference voice packet, and the at least one frequency associated with the targeted voice packet is a center frequency of at least one formant for voice information represented by the targeted voice packet.

18. The method of claim 1, wherein the selecting step comprises: extracting a plurality of encoded voice parameters from the targeted voice packet and each of the reference voice packets;for each encoded voice parameter associated with each reference voice packet, determining an individual similarity metric based on the encoded voice parameter for the reference voice packet and the targeted voice packet;for each reference voice packet, determining an overall similarity metric based on the individual similarity metrics associated with the reference voice packet; andselecting the reference voice packet based on the overall similarity metric associated with each reference voice packet.

19. The method of claim 18, wherein the selecting step further comprises: comparing the overall similarity metrics to determine the minimum overall similarity metric; andselecting the reference voice packet associated with the minimum overall similarity metric.

20. A method for suppressing echo, comprising: generating a set of reference voice packets similar to a targeted voice packet based on at least one encoded voice parameter associated with each of the reference voice packets and the targeted voice packet; andsuppressing echo based on at least one of the reference voice packets in the set of reference voice packets.