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Using Burg cepstrum for feature prediction

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This commit is contained in:
Jean-Marc Valin 2022-02-04 22:04:23 -05:00
parent b93dbfc0bc
commit 2e18f0d160
8 changed files with 50 additions and 15 deletions
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10
dnn/lpcnet_plc.c
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@ -75,7 +75,9 @@ LPCNET_EXPORT int lpcnet_plc_update(LPCNetPLCState *st, short *pcm) {
float x[FRAME_SIZE];
short output[FRAME_SIZE];
#if PLC_DNN_PRED
float plc_features[NB_FEATURES+1];
float plc_features[2*NB_BANDS+NB_FEATURES+1];
for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
burg_cepstral_analysis(plc_features, x);
#endif
st->enc.pcount = 0;
if (st->skip_analysis) {
@ -105,8 +107,8 @@ LPCNET_EXPORT int lpcnet_plc_update(LPCNetPLCState *st, short *pcm) {
process_single_frame(&st->enc, NULL);
#if PLC_DNN_PRED
if (st->skip_analysis <= 1) {
RNN_COPY(plc_features, st->enc.features[0], NB_FEATURES);
plc_features[NB_FEATURES] = 1;
RNN_COPY(&plc_features[2*NB_BANDS], st->enc.features[0], NB_FEATURES);
plc_features[2*NB_BANDS+NB_FEATURES] = 1;
compute_plc_pred(&st->plc_net, st->features, plc_features);
}
#else
@ -142,7 +144,7 @@ LPCNET_EXPORT int lpcnet_plc_conceal(LPCNetPLCState *st, short *pcm) {
int i;
#endif
short output[FRAME_SIZE];
float zeros[NB_FEATURES+1] = {0};
float zeros[2*NB_BANDS+NB_FEATURES+1] = {0};
st->enc.pcount = 0;
/* If we concealed the previous frame, finish synthesizing the rest of the samples. */
/* FIXME: Copy/predict features. */