1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
|
/*****************************************************************************
* Gnome Wave Cleaner Version 0.19
* Copyright (C) 2001 Jeffrey J. Welty
* (Modified by Damien Zammit for zam-plugins 2014)
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
*******************************************************************************/
#include <float.h>
#include <math.h>
#include <fftw3.h>
#include <inttypes.h>
#define MAX(a,b) (((a) > (b)) ? (a) : (b))
#define MIN(a,b) (((a) < (b)) ? (a) : (b))
#define FFTW(func) fftwf_ ## func
#define DENOISE_MAX_FFT 8192
#define DENOISE_WINDOW_BLACKMAN 0
#define DENOISE_WINDOW_BLACKMAN_HYBRID 1
#define DENOISE_WINDOW_HANNING_OVERLAP_ADD 2
#define bin2freq(r,s,k) ((double)r / 2.0 /(double)(s/2)*(double)k)
typedef float fftw_real;
class Denoise {
public:
Denoise(float srate);
~Denoise();
void process(const float* ins, float* outs, float* noisebuffer, uint32_t frames, int noisetoggle);
void compute_bark_z(int rate);
void compute_johnston_gain(double tonality_factor);
int get_window_delta();
void compute_sum_window_wgts();
double gain_weiner(double Yk2, double Dk2);
double gain_power_subtraction(double Yk2, double Dk2);
double alpha_lorber(double snr);
double hypergeom(double theta);
double gain_em(double Rprio, double Rpost, double alpha);
double blackman(int k, int N);
double hanning(int k, int N);
double blackman_hybrid(int k, int n_flat, int N);
double welty_alpha(double w, double x);
double fft_window(int k, int N, int window_type);
double db2w(double db);
void fft_remove_noise(const float* ins, float* outs, uint32_t frames, fftw_real noise_min2[], fftw_real noise_max2[], fftw_real noise_avg2[], FFTW(plan) *pFor, FFTW(plan) *pBak);
int denoise(long noise_start, long noise_end, long first_sample, long last_sample);
void get_noise_sample(float* noisebuffer, fftw_real *left_noise_min, fftw_real *left_noise_max, fftw_real *left_noise_avg);
private:
int noise_suppression_method;
int window_type;
int smoothness;
int FFT_SIZE;
int n_noise_samples;
double amount;
double dn_gamma;
double randomness;
double min_sample_freq;
double max_sample_freq;
int freq_filter;
int estimate_power_floor;
int rate;
double bark_z[DENOISE_MAX_FFT];
double window_coef[DENOISE_MAX_FFT];
double sum_window_wgts[DENOISE_MAX_FFT];
double jg_upper[DENOISE_MAX_FFT][11];
double jg_lower[DENOISE_MAX_FFT][11];
double tonality_factor;
int noisebufpos;
int prev_sample;
fftw_real windowed[DENOISE_MAX_FFT];
fftw_real out[DENOISE_MAX_FFT];
fftw_real left[DENOISE_MAX_FFT];
fftw_real sample[DENOISE_MAX_FFT];
fftw_real left_noise_max[DENOISE_MAX_FFT], left_noise_avg[DENOISE_MAX_FFT];
fftw_real left_noise_min[DENOISE_MAX_FFT];
fftw_real tmp[DENOISE_MAX_FFT];
fftw_real left_prev_frame[DENOISE_MAX_FFT];
FFTW(plan) pForLeft;
FFTW(plan) pFor, pBak;
double chbevl( double x, double array[], int n );
double i0(double x);
double i1(double x);
};
|
