| /* aec.h | |
| * | |
| * Copyright (C) DFS Deutsche Flugsicherung (2004, 2005). | |
| * All Rights Reserved. | |
| * Author: Andre Adrian | |
| * | |
| * Acoustic Echo Cancellation Leaky NLMS-pw algorithm | |
| * | |
| * Version 0.3 filter created with www.dsptutor.freeuk.com | |
| * Version 0.3.1 Allow change of stability parameter delta | |
| * Version 0.4 Leaky Normalized LMS - pre whitening algorithm | |
| */ | |
| #ifndef _AEC_H /* include only once */ | |
| #ifdef HAVE_CONFIG_H | |
| #include <config.h> | |
| #endif | |
| #include <pulse/gccmacro.h> | |
| #include <pulse/xmalloc.h> | |
| #include <pulsecore/macro.h> | |
| #define WIDEB 2 | |
| // use double if your CPU does software-emulation of float | |
| #define REAL float | |
| /* dB Values */ | |
| #define M0dB 1.0f | |
| #define M3dB 0.71f | |
| #define M6dB 0.50f | |
| #define M9dB 0.35f | |
| #define M12dB 0.25f | |
| #define M18dB 0.125f | |
| #define M24dB 0.063f | |
| /* dB values for 16bit PCM */ | |
| /* MxdB_PCM = 32767 * 10 ^(x / 20) */ | |
| #define M10dB_PCM 10362.0f | |
| #define M20dB_PCM 3277.0f | |
| #define M25dB_PCM 1843.0f | |
| #define M30dB_PCM 1026.0f | |
| #define M35dB_PCM 583.0f | |
| #define M40dB_PCM 328.0f | |
| #define M45dB_PCM 184.0f | |
| #define M50dB_PCM 104.0f | |
| #define M55dB_PCM 58.0f | |
| #define M60dB_PCM 33.0f | |
| #define M65dB_PCM 18.0f | |
| #define M70dB_PCM 10.0f | |
| #define M75dB_PCM 6.0f | |
| #define M80dB_PCM 3.0f | |
| #define M85dB_PCM 2.0f | |
| #define M90dB_PCM 1.0f | |
| #define MAXPCM 32767.0f | |
| /* Design constants (Change to fine tune the algorithms */ | |
| /* The following values are for hardware AEC and studio quality | |
| * microphone */ | |
| /* NLMS filter length in taps (samples). A longer filter length gives | |
| * better Echo Cancellation, but maybe slower convergence speed and | |
| * needs more CPU power (Order of NLMS is linear) */ | |
| #define NLMS_LEN (100*WIDEB*8) | |
| /* Vector w visualization length in taps (samples). | |
| * Must match argv value for wdisplay.tcl */ | |
| #define DUMP_LEN (40*WIDEB*8) | |
| /* minimum energy in xf. Range: M70dB_PCM to M50dB_PCM. Should be equal | |
| * to microphone ambient Noise level */ | |
| #define NoiseFloor M55dB_PCM | |
| /* Leaky hangover in taps. | |
| */ | |
| #define Thold (60 * WIDEB * 8) | |
| // Adrian soft decision DTD | |
| // left point. X is ratio, Y is stepsize | |
| #define STEPX1 1.0 | |
| #define STEPY1 1.0 | |
| // right point. STEPX2=2.0 is good double talk, 3.0 is good single talk. | |
| #define STEPX2 2.5 | |
| #define STEPY2 0 | |
| #define ALPHAFAST (1.0f / 100.0f) | |
| #define ALPHASLOW (1.0f / 20000.0f) | |
| /* Ageing multiplier for LMS memory vector w */ | |
| #define Leaky 0.9999f | |
| /* Double Talk Detector Speaker/Microphone Threshold. Range <=1 | |
| * Large value (M0dB) is good for Single-Talk Echo cancellation, | |
| * small value (M12dB) is good for Double-Talk AEC */ | |
| #define GeigelThreshold M6dB | |
| /* for Non Linear Processor. Range >0 to 1. Large value (M0dB) is good | |
| * for Double-Talk, small value (M12dB) is good for Single-Talk */ | |
| #define NLPAttenuation M12dB | |
| /* Below this line there are no more design constants */ | |
| typedef struct IIR_HP IIR_HP; | |
| /* Exponential Smoothing or IIR Infinite Impulse Response Filter */ | |
| struct IIR_HP { | |
| REAL x; | |
| }; | |
| static IIR_HP* IIR_HP_init(void) { | |
| IIR_HP *i = pa_xnew(IIR_HP, 1); | |
| i->x = 0.0f; | |
| return i; | |
| } | |
| static REAL IIR_HP_highpass(IIR_HP *i, REAL in) { | |
| const REAL a0 = 0.01f; /* controls Transfer Frequency */ | |
| /* Highpass = Signal - Lowpass. Lowpass = Exponential Smoothing */ | |
| i->x += a0 * (in - i->x); | |
| return in - i->x; | |
| } | |
| typedef struct FIR_HP_300Hz FIR_HP_300Hz; | |
| #if WIDEB==1 | |
| /* 17 taps FIR Finite Impulse Response filter | |
| * Coefficients calculated with | |
| * www.dsptutor.freeuk.com/KaiserFilterDesign/KaiserFilterDesign.html | |
| */ | |
| class FIR_HP_300Hz { | |
| REAL z[18]; | |
| public: | |
| FIR_HP_300Hz() { | |
| memset(this, 0, sizeof(FIR_HP_300Hz)); | |
| } | |
| REAL highpass(REAL in) { | |
| const REAL a[18] = { | |
| // Kaiser Window FIR Filter, Filter type: High pass | |
| // Passband: 300.0 - 4000.0 Hz, Order: 16 | |
| // Transition band: 75.0 Hz, Stopband attenuation: 10.0 dB | |
| -0.034870606, -0.039650206, -0.044063766, -0.04800318, | |
| -0.051370874, -0.054082647, -0.056070227, -0.057283327, | |
| 0.8214126, -0.057283327, -0.056070227, -0.054082647, | |
| -0.051370874, -0.04800318, -0.044063766, -0.039650206, | |
| -0.034870606, 0.0 | |
| }; | |
| memmove(z + 1, z, 17 * sizeof(REAL)); | |
| z[0] = in; | |
| REAL sum0 = 0.0, sum1 = 0.0; | |
| int j; | |
| for (j = 0; j < 18; j += 2) { | |
| // optimize: partial loop unrolling | |
| sum0 += a[j] * z[j]; | |
| sum1 += a[j + 1] * z[j + 1]; | |
| } | |
| return sum0 + sum1; | |
| } | |
| }; | |
| #else | |
| /* 35 taps FIR Finite Impulse Response filter | |
| * Passband 150Hz to 4kHz for 8kHz sample rate, 300Hz to 8kHz for 16kHz | |
| * sample rate. | |
| * Coefficients calculated with | |
| * www.dsptutor.freeuk.com/KaiserFilterDesign/KaiserFilterDesign.html | |
| */ | |
| struct FIR_HP_300Hz { | |
| REAL z[36]; | |
| }; | |
| static FIR_HP_300Hz* FIR_HP_300Hz_init(void) { | |
| FIR_HP_300Hz *ret = pa_xnew(FIR_HP_300Hz, 1); | |
| memset(ret, 0, sizeof(FIR_HP_300Hz)); | |
| return ret; | |
| } | |
| static REAL FIR_HP_300Hz_highpass(FIR_HP_300Hz *f, REAL in) { | |
| REAL sum0 = 0.0, sum1 = 0.0; | |
| int j; | |
| const REAL a[36] = { | |
| // Kaiser Window FIR Filter, Filter type: High pass | |
| // Passband: 150.0 - 4000.0 Hz, Order: 34 | |
| // Transition band: 34.0 Hz, Stopband attenuation: 10.0 dB | |
| -0.016165324, -0.017454365, -0.01871232, -0.019931411, | |
| -0.021104068, -0.022222936, -0.02328091, -0.024271343, | |
| -0.025187887, -0.02602462, -0.026776174, -0.027437767, | |
| -0.028004972, -0.028474221, -0.028842418, -0.029107114, | |
| -0.02926664, 0.8524841, -0.02926664, -0.029107114, | |
| -0.028842418, -0.028474221, -0.028004972, -0.027437767, | |
| -0.026776174, -0.02602462, -0.025187887, -0.024271343, | |
| -0.02328091, -0.022222936, -0.021104068, -0.019931411, | |
| -0.01871232, -0.017454365, -0.016165324, 0.0 | |
| }; | |
| memmove(f->z + 1, f->z, 35 * sizeof(REAL)); | |
| f->z[0] = in; | |
| for (j = 0; j < 36; j += 2) { | |
| // optimize: partial loop unrolling | |
| sum0 += a[j] * f->z[j]; | |
| sum1 += a[j + 1] * f->z[j + 1]; | |
| } | |
| return sum0 + sum1; | |
| } | |
| #endif | |
| typedef struct IIR1 IIR1; | |
| /* Recursive single pole IIR Infinite Impulse response High-pass filter | |
| * | |
| * Reference: The Scientist and Engineer's Guide to Digital Processing | |
| * | |
| * output[N] = A0 * input[N] + A1 * input[N-1] + B1 * output[N-1] | |
| * | |
| * X = exp(-2.0 * pi * Fc) | |
| * A0 = (1 + X) / 2 | |
| * A1 = -(1 + X) / 2 | |
| * B1 = X | |
| * Fc = cutoff freq / sample rate | |
| */ | |
| struct IIR1 { | |
| REAL in0, out0; | |
| REAL a0, a1, b1; | |
| }; | |
| #if 0 | |
| IIR1() { | |
| memset(this, 0, sizeof(IIR1)); | |
| } | |
| #endif | |
| static IIR1* IIR1_init(REAL Fc) { | |
| IIR1 *i = pa_xnew(IIR1, 1); | |
| i->b1 = expf(-2.0f * M_PI * Fc); | |
| i->a0 = (1.0f + i->b1) / 2.0f; | |
| i->a1 = -(i->a0); | |
| i->in0 = 0.0f; | |
| i->out0 = 0.0f; | |
| return i; | |
| } | |
| static REAL IIR1_highpass(IIR1 *i, REAL in) { | |
| REAL out = i->a0 * in + i->a1 * i->in0 + i->b1 * i->out0; | |
| i->in0 = in; | |
| i->out0 = out; | |
| return out; | |
| } | |
| #if 0 | |
| /* Recursive two pole IIR Infinite Impulse Response filter | |
| * Coefficients calculated with | |
| * http://www.dsptutor.freeuk.com/IIRFilterDesign/IIRFiltDes102.html | |
| */ | |
| class IIR2 { | |
| REAL x[2], y[2]; | |
| public: | |
| IIR2() { | |
| memset(this, 0, sizeof(IIR2)); | |
| } | |
| REAL highpass(REAL in) { | |
| // Butterworth IIR filter, Filter type: HP | |
| // Passband: 2000 - 4000.0 Hz, Order: 2 | |
| const REAL a[] = { 0.29289323f, -0.58578646f, 0.29289323f }; | |
| const REAL b[] = { 1.3007072E-16f, 0.17157288f }; | |
| REAL out = | |
| a[0] * in + a[1] * x[0] + a[2] * x[1] - b[0] * y[0] - b[1] * y[1]; | |
| x[1] = x[0]; | |
| x[0] = in; | |
| y[1] = y[0]; | |
| y[0] = out; | |
| return out; | |
| } | |
| }; | |
| #endif | |
| // Extension in taps to reduce mem copies | |
| #define NLMS_EXT (10*8) | |
| // block size in taps to optimize DTD calculation | |
| #define DTD_LEN 16 | |
| typedef struct AEC AEC; | |
| struct AEC { | |
| // Time domain Filters | |
| IIR_HP *acMic, *acSpk; // DC-level remove Highpass) | |
| FIR_HP_300Hz *cutoff; // 150Hz cut-off Highpass | |
| REAL gain; // Mic signal amplify | |
| IIR1 *Fx, *Fe; // pre-whitening Highpass for x, e | |
| // Adrian soft decision DTD (Double Talk Detector) | |
| REAL dfast, xfast; | |
| REAL dslow, xslow; | |
| // NLMS-pw | |
| REAL x[NLMS_LEN + NLMS_EXT]; // tap delayed loudspeaker signal | |
| REAL xf[NLMS_LEN + NLMS_EXT]; // pre-whitening tap delayed signal | |
| REAL w_arr[NLMS_LEN + (16 / sizeof(REAL))]; // tap weights | |
| REAL *w; // this will be a 16-byte aligned pointer into w_arr | |
| int j; // optimize: less memory copies | |
| double dotp_xf_xf; // double to avoid loss of precision | |
| float delta; // noise floor to stabilize NLMS | |
| // AES | |
| float aes_y2; // not in use! | |
| // w vector visualization | |
| REAL ws[DUMP_LEN]; // tap weights sums | |
| int fdwdisplay; // TCP file descriptor | |
| int dumpcnt; // wdisplay output counter | |
| // variables are public for visualization | |
| int hangover; | |
| float stepsize; | |
| // vfuncs that are picked based on processor features available | |
| REAL (*dotp) (REAL[], REAL[]); | |
| }; | |
| /* Double-Talk Detector | |
| * | |
| * in d: microphone sample (PCM as REALing point value) | |
| * in x: loudspeaker sample (PCM as REALing point value) | |
| * return: from 0 for doubletalk to 1.0 for single talk | |
| */ | |
| static float AEC_dtd(AEC *a, REAL d, REAL x); | |
| static void AEC_leaky(AEC *a); | |
| /* Normalized Least Mean Square Algorithm pre-whitening (NLMS-pw) | |
| * The LMS algorithm was developed by Bernard Widrow | |
| * book: Haykin, Adaptive Filter Theory, 4. edition, Prentice Hall, 2002 | |
| * | |
| * in d: microphone sample (16bit PCM value) | |
| * in x_: loudspeaker sample (16bit PCM value) | |
| * in stepsize: NLMS adaptation variable | |
| * return: echo cancelled microphone sample | |
| */ | |
| static REAL AEC_nlms_pw(AEC *a, REAL d, REAL x_, float stepsize); | |
| AEC* AEC_init(int RATE, int have_vector); | |
| void AEC_done(AEC *a); | |
| /* Acoustic Echo Cancellation and Suppression of one sample | |
| * in d: microphone signal with echo | |
| * in x: loudspeaker signal | |
| * return: echo cancelled microphone signal | |
| */ | |
| int AEC_doAEC(AEC *a, int d_, int x_); | |
| PA_GCC_UNUSED static float AEC_getambient(AEC *a) { | |
| return a->dfast; | |
| } | |
| static void AEC_setambient(AEC *a, float Min_xf) { | |
| a->dotp_xf_xf -= a->delta; // subtract old delta | |
| a->delta = (NLMS_LEN-1) * Min_xf * Min_xf; | |
| a->dotp_xf_xf += a->delta; // add new delta | |
| } | |
| PA_GCC_UNUSED static void AEC_setgain(AEC *a, float gain_) { | |
| a->gain = gain_; | |
| } | |
| #if 0 | |
| void AEC_openwdisplay(AEC *a); | |
| #endif | |
| PA_GCC_UNUSED static void AEC_setaes(AEC *a, float aes_y2_) { | |
| a->aes_y2 = aes_y2_; | |
| } | |
| #define _AEC_H | |
| #endif |