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authorJean-Marc Valin <jmvalin@jmvalin.ca>2017-08-04 09:50:35 +0300
committerJean-Marc Valin <jmvalin@jmvalin.ca>2017-08-04 09:50:35 +0300
commit261d773f5b4ef2ab0560995c0c84566950500b91 (patch)
tree2e850ca5ab04c9c780cd63418eba1906493d060e
parentda83a5bb71ff878c002411e1401e151ff232e71f (diff)
some integration
-rw-r--r--src/denoise.c7
-rw-r--r--src/rnn.c2
2 files changed, 7 insertions, 2 deletions
diff --git a/src/denoise.c b/src/denoise.c
index 8a27335..026a839 100644
--- a/src/denoise.c
+++ b/src/denoise.c
@@ -5,6 +5,8 @@
#include "common.h"
#include <math.h>
#include "pitch.h"
+#include "rnn.h"
+#include "rnn_data.h"
#define FRAME_SIZE_SHIFT 2
#define FRAME_SIZE (120<<FRAME_SIZE_SHIFT)
@@ -53,6 +55,7 @@ typedef struct {
float pitch_enh_buf[PITCH_BUF_SIZE];
float last_gain;
int last_period;
+ RNNState rnn;
} DenoiseState;
#if SMOOTH_BANDS
@@ -427,6 +430,7 @@ int main(int argc, char **argv) {
float gf[FREQ_SIZE]={1};
short tmp[FRAME_SIZE];
float vad=0;
+ float vad_prob;
float E=0;
if (++gain_change_count > 101*300) {
speech_gain = pow(10., (-30+(rand()%40))/20.);
@@ -478,12 +482,13 @@ int main(int argc, char **argv) {
for (i=0;i<NB_BANDS;i++) printf("%f ", Ln[i]);
printf("%f\n", vad);
#endif
-#if 1
+#if 0
fwrite(features, sizeof(float), NB_FEATURES, stdout);
fwrite(g, sizeof(float), NB_BANDS, stdout);
fwrite(Ln, sizeof(float), NB_BANDS, stdout);
fwrite(&vad, sizeof(float), 1, stdout);
#endif
+ compute_rnn(&noisy->rnn, g, &vad_prob, features);
//for (i=0;i<NB_BANDS;i++) scanf("%f", &g[i]);
interp_band_gain(gf, g);
#if 1
diff --git a/src/rnn.c b/src/rnn.c
index b6b83e2..70db8ac 100644
--- a/src/rnn.c
+++ b/src/rnn.c
@@ -155,7 +155,6 @@ void compute_gru(const GRULayer *gru, float *state, const float *input)
state[i] = h[i];
}
-#if 1
#define INPUT_SIZE 42
void compute_rnn(RNNState *rnn, float *gains, float *vad, const float *input) {
@@ -178,6 +177,7 @@ void compute_rnn(RNNState *rnn, float *gains, float *vad, const float *input) {
compute_dense(&denoise_output, gains, rnn->denoise_gru_state);
}
+#if 0
int main() {
float vad_out[MAX_NEURONS] = {0};
float input[INPUT_SIZE];