gcfsnet_mono/denoise.c File Reference

Classes
struct	DenoiseState

Macros
#define	FEAT_LEN   260
#define	FFT_SIZE   128
#define	FFT_HALF   65
#define	NUM_CHAN   2
#define	LEN_FILT_T   1
#define	SQUARE(x)   ((x)*(x))
#define	MAX(x, y)   ((x) > (y) ? (x) : (y))
#define	NB_FEATURES   FEAT_LEN
#define	TRAINING   0

Functions
int	rnnoise_get_size ()
int	rnnoise_init (DenoiseState *st)
DenoiseState *	rnnoise_create ()
void	rnnoise_destroy (DenoiseState *st)
static void	apply_filter_b (DenoiseState *st, const float *real_part, const float *imag_part)
static void	apply_filter_t (DenoiseState *st, float *real_out, float *imag_out)
static void	compute_frame_features (DenoiseState *st, const float *real_part, const float *imag_part)
void	rnnoise_process_frame (DenoiseState *st, float *real_output, float *imag_output, const float *real_input, const float *imag_input)

Variables
const struct RNNModel	rnnoise_model_orig

Macro Definition Documentation

FEAT_LEN

#define FEAT_LEN   260

FFT_SIZE

#define FFT_SIZE   128

FFT_HALF

#define FFT_HALF   65

NUM_CHAN

#define NUM_CHAN   2

LEN_FILT_T

#define LEN_FILT_T   1

SQUARE

#define SQUARE

(

x

)

((x)*(x))

MAX

#define MAX	(		x,
			y
	)		((x) > (y) ? (x) : (y))

NB_FEATURES

#define NB_FEATURES   FEAT_LEN

TRAINING

#define TRAINING   0

Function Documentation

rnnoise_get_size()

int rnnoise_get_size

(

)

rnnoise_init()

int rnnoise_init

(

DenoiseState *

st

)

rnnoise_create()

DenoiseState* rnnoise_create

(

)

rnnoise_destroy()

void rnnoise_destroy

(

DenoiseState *

st

)

apply_filter_b()

static void apply_filter_b ( DenoiseState *  st, const float *  real_part, const float *  imag_part  )

static

apply_filter_t()

static void apply_filter_t ( DenoiseState *  st, float *  real_out, float *  imag_out  )

static

compute_frame_features()

static void compute_frame_features ( DenoiseState *  st, const float *  real_part, const float *  imag_part  )

static

rnnoise_process_frame()

void rnnoise_process_frame	(	DenoiseState *	st,
		float *	real_output,
		float *	imag_output,
		const float *	real_input,
		const float *	imag_input
	)

Variable Documentation

rnnoise_model_orig

const struct RNNModel rnnoise_model_orig

extern