diff --git a/dnn/include/lpcnet.h b/dnn/include/lpcnet.h
index fd12044c7a1600b345dabbb88495e92df79948ac..fc9978f5f94950e92d702c303e86e20ed71a172c 100644
--- a/dnn/include/lpcnet.h
+++ b/dnn/include/lpcnet.h
@@ -189,10 +189,8 @@ LPCNET_EXPORT void lpcnet_synthesize(LPCNetState *st, const float *features, sho
 
 
 #define LPCNET_PLC_CAUSAL 0
-#define LPCNET_PLC_NONCAUSAL 1
 #define LPCNET_PLC_CODEC 2
 
-#define LPCNET_PLC_DC_FILTER 4
 
 LPCNET_EXPORT int lpcnet_plc_get_size(void);
 
diff --git a/dnn/lpcnet_demo.c b/dnn/lpcnet_demo.c
index 1c2cd95f2cc7571bdbf5c7e344c67021a2ee0fc7..a0ee3c9cfff0da57ea2d227144eaa54b980b93b6 100644
--- a/dnn/lpcnet_demo.c
+++ b/dnn/lpcnet_demo.c
@@ -90,9 +90,7 @@ void usage(void) {
     fprintf(stderr, "       lpcnet_demo -addlpc <features_without_lpc.f32> <features_with_lpc.lpc>\n\n");
     fprintf(stderr, "  plc_options:\n");
     fprintf(stderr, "       causal:       normal (causal) PLC\n");
-    fprintf(stderr, "       causal_dc:    normal (causal) PLC with DC offset compensation\n");
-    fprintf(stderr, "       noncausal:    non-causal PLC\n");
-    fprintf(stderr, "       noncausal_dc: non-causal PLC with DC offset compensation\n");
+    fprintf(stderr, "       codec:        normal (causal) PLC without cross-fade (will glitch)\n");
     exit(1);
 }
 
@@ -134,9 +132,7 @@ int main(int argc, char **argv) {
     }
     if (mode == MODE_PLC) {
         if (strcmp(plc_options, "causal")==0) plc_flags = LPCNET_PLC_CAUSAL;
-        else if (strcmp(plc_options, "causal_dc")==0) plc_flags = LPCNET_PLC_CAUSAL | LPCNET_PLC_DC_FILTER;
-        else if (strcmp(plc_options, "noncausal")==0) plc_flags = LPCNET_PLC_NONCAUSAL;
-        else if (strcmp(plc_options, "noncausal_dc")==0) plc_flags = LPCNET_PLC_NONCAUSAL | LPCNET_PLC_DC_FILTER;
+        else if (strcmp(plc_options, "codec")==0) plc_flags = LPCNET_PLC_CODEC;
         else usage();
     }
     if (argc != 4) usage();
@@ -191,7 +187,6 @@ int main(int argc, char **argv) {
         int loss=0;
         int skip=0, extra=0;
         LPCNetPLCState *net;
-        if ((plc_flags&0x3) == LPCNET_PLC_NONCAUSAL) skip=extra=80;
         net = lpcnet_plc_create(plc_flags);
 #ifdef USE_WEIGHTS_FILE
         lpcnet_plc_load_model(net, data, len);
diff --git a/dnn/lpcnet_plc.c b/dnn/lpcnet_plc.c
index a104c1d9d276adcd584f1a82926544740cd852f6..99605987dff0df2f338cc5bd4fb46237f6821395 100644
--- a/dnn/lpcnet_plc.c
+++ b/dnn/lpcnet_plc.c
@@ -54,8 +54,6 @@ LPCNET_EXPORT void lpcnet_plc_reset(LPCNetPLCState *st) {
   st->skip_analysis = 0;
   st->blend = 0;
   st->loss_count = 0;
-  st->dc_mem = 0;
-  st->queued_update = 0;
 }
 
 LPCNET_EXPORT int lpcnet_plc_init(LPCNetPLCState *st, int options) {
@@ -64,17 +62,11 @@ LPCNET_EXPORT int lpcnet_plc_init(LPCNetPLCState *st, int options) {
   lpcnet_encoder_init(&st->enc);
   if ((options&0x3) == LPCNET_PLC_CAUSAL) {
     st->enable_blending = 1;
-    st->non_causal = 0;
-  } else if ((options&0x3) == LPCNET_PLC_NONCAUSAL) {
-    st->enable_blending = 1;
-    st->non_causal = 1;
   } else if ((options&0x3) == LPCNET_PLC_CODEC) {
     st->enable_blending = 0;
-    st->non_causal = 0;
   } else {
     return -1;
   }
-  st->remove_dc = !!(options&LPCNET_PLC_DC_FILTER);
 #ifndef USE_WEIGHTS_FILE
   ret = init_plc_model(&st->model, lpcnet_plc_arrays);
 #else
@@ -180,28 +172,15 @@ void clear_state(LPCNetPLCState *st) {
   RNN_CLEAR(st->lpcnet.nnet.gru_b_state, GRU_B_STATE_SIZE);
 }
 
-#define DC_CONST 0.003
-
 /* In this causal version of the code, the DNN model implemented by compute_plc_pred()
    needs to generate two feature vectors to conceal the first lost packet.*/
 
-static int lpcnet_plc_update_causal(LPCNetPLCState *st, short *pcm) {
+int lpcnet_plc_update(LPCNetPLCState *st, short *pcm) {
   int i;
   float x[FRAME_SIZE];
   short output[FRAME_SIZE];
   float plc_features[2*NB_BANDS+NB_FEATURES+1];
-  short lp[FRAME_SIZE]={0};
   int delta = 0;
-  if (st->remove_dc) {
-    st->dc_mem += st->syn_dc;
-    delta = st->syn_dc;
-    st->syn_dc = 0;
-    for (i=0;i<FRAME_SIZE;i++) {
-      lp[i] = (int)floor(.5 + st->dc_mem);
-      st->dc_mem += DC_CONST*(pcm[i] - st->dc_mem);
-      pcm[i] -= lp[i];
-    }
-  }
   for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
   burg_cepstral_analysis(plc_features, x);
   st->enc.pcount = 0;
@@ -280,17 +259,12 @@ static int lpcnet_plc_update_causal(LPCNetPLCState *st, short *pcm) {
     RNN_MOVE(st->pcm, &st->pcm[FRAME_SIZE], PLC_BUF_SIZE);
   }
   st->loss_count = 0;
-  if (st->remove_dc) {
-    for (i=0;i<FRAME_SIZE;i++) {
-      pcm[i] += lp[i];
-    }
-  }
   st->blend = 0;
   return 0;
 }
 
 static const float att_table[10] = {0, 0,  -.2, -.2,  -.4, -.4,  -.8, -.8, -1.6, -1.6};
-static int lpcnet_plc_conceal_causal(LPCNetPLCState *st, short *pcm) {
+int lpcnet_plc_conceal(LPCNetPLCState *st, short *pcm) {
   int i;
   short output[FRAME_SIZE];
   run_frame_network_flush(&st->lpcnet);
@@ -327,177 +301,5 @@ static int lpcnet_plc_conceal_causal(LPCNetPLCState *st, short *pcm) {
     process_single_frame(&st->enc, NULL);
   }
   st->blend = 1;
-  if (st->remove_dc) {
-    for (i=0;i<FRAME_SIZE;i++) {
-      st->syn_dc += DC_CONST*(pcm[i] - st->syn_dc);
-      pcm[i] += (int)floor(.5 + st->dc_mem);
-    }
-  }
   return 0;
 }
-
-/* In this non-causal version of the code, the DNN model implemented by compute_plc_pred()
-   is always called once per frame. We process audio up to the current position minus TRAINING_OFFSET. */
-
-void process_queued_update(LPCNetPLCState *st) {
-  if (st->queued_update) {
-    lpcnet_synthesize_impl(&st->lpcnet, st->features, st->queued_samples, FRAME_SIZE, FRAME_SIZE);
-    st->queued_update=0;
-  }
-}
-
-static int lpcnet_plc_update_non_causal(LPCNetPLCState *st, short *pcm) {
-  int i;
-  float x[FRAME_SIZE];
-  short pcm_save[FRAME_SIZE];
-  float plc_features[2*NB_BANDS+NB_FEATURES+1];
-  short lp[FRAME_SIZE]={0};
-  double mem_bak=0;
-  int delta = st->syn_dc;
-  if (FEATURES_DELAY != 0) {
-    fprintf(stderr, "Non-causal PLC cannot work with non-zero FEATURES_DELAY\n");
-    fprintf(stderr, "Recompile with a no-lookahead model (see README.md)\n");
-    exit(1);
-  }
-  process_queued_update(st);
-  if (st->remove_dc) {
-    st->dc_mem += st->syn_dc;
-    st->syn_dc = 0;
-    mem_bak = st->dc_mem;
-    for (i=0;i<FRAME_SIZE;i++) {
-      lp[i] = (int)floor(.5 + st->dc_mem);
-      st->dc_mem += DC_CONST*(pcm[i] - st->dc_mem);
-      pcm[i] -= lp[i];
-    }
-  }
-  RNN_COPY(pcm_save, pcm, FRAME_SIZE);
-  for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
-  burg_cepstral_analysis(plc_features, x);
-  st->enc.pcount = 0;
-  if (st->loss_count > 0) {
-    LPCNetState copy;
-    /* Handle blending. */
-    float zeros[2*NB_BANDS+NB_FEATURES+1] = {0};
-    RNN_COPY(zeros, plc_features, 2*NB_BANDS);
-    zeros[2*NB_BANDS+NB_FEATURES] = 1;
-    compute_plc_pred(st, st->features, zeros);
-    copy = st->lpcnet;
-    lpcnet_synthesize_impl(&st->lpcnet, st->features, &st->pcm[FRAME_SIZE-TRAINING_OFFSET], TRAINING_OFFSET, 0);
-    /* Undo initial DC offset removal so that we can take into account the last 5ms of synthesis. */
-    if (st->remove_dc) {
-      for (i=0;i<FRAME_SIZE;i++) pcm[i] += lp[i];
-      st->dc_mem = mem_bak;
-      for (i=0;i<TRAINING_OFFSET;i++) st->syn_dc += DC_CONST*(st->pcm[FRAME_SIZE-TRAINING_OFFSET+i] - st->syn_dc);
-      st->dc_mem += st->syn_dc;
-      delta += st->syn_dc;
-      st->syn_dc = 0;
-      for (i=0;i<FRAME_SIZE;i++) {
-        lp[i] = (int)floor(.5 + st->dc_mem);
-        st->dc_mem += DC_CONST*(pcm[i] - st->dc_mem);
-        pcm[i] -= lp[i];
-      }
-      RNN_COPY(pcm_save, pcm, FRAME_SIZE);
-    }
-    {
-      short rev[FRAME_SIZE];
-      for (i=0;i<FRAME_SIZE;i++) rev[i] = pcm[FRAME_SIZE-i-1];
-      clear_state(st);
-      lpcnet_synthesize_impl(&st->lpcnet, st->features, rev, FRAME_SIZE, FRAME_SIZE);
-      lpcnet_synthesize_tail_impl(&st->lpcnet, rev, TRAINING_OFFSET, 0);
-      for (i=0;i<TRAINING_OFFSET;i++) {
-        float w;
-        w = .5 - .5*cos(M_PI*i/(TRAINING_OFFSET));
-        st->pcm[FRAME_SIZE-1-i] = (int)floor(.5 + w*st->pcm[FRAME_SIZE-1-i] + (1-w)*(rev[i]+delta));
-      }
-      
-    }
-    st->lpcnet = copy;
-#if 1
-    st->queued_update = 1;
-    RNN_COPY(&st->queued_samples[0], &st->pcm[FRAME_SIZE-TRAINING_OFFSET], TRAINING_OFFSET);
-    RNN_COPY(&st->queued_samples[TRAINING_OFFSET], pcm, FRAME_SIZE-TRAINING_OFFSET);
-#else
-    lpcnet_synthesize_impl(&st->lpcnet, st->features, &st->pcm[FRAME_SIZE-TRAINING_OFFSET], TRAINING_OFFSET, TRAINING_OFFSET);
-    lpcnet_synthesize_tail_impl(&st->lpcnet, pcm, FRAME_SIZE-TRAINING_OFFSET, FRAME_SIZE-TRAINING_OFFSET);
-#endif
-    for (i=0;i<FRAME_SIZE;i++) x[i] = st->pcm[i];
-    preemphasis(x, &st->enc.mem_preemph, x, PREEMPHASIS, FRAME_SIZE);
-    compute_frame_features(&st->enc, x);
-    process_single_frame(&st->enc, NULL);
-    
-  }
-  for (i=0;i<FRAME_SIZE;i++) x[i] = pcm[i];
-  preemphasis(x, &st->enc.mem_preemph, x, PREEMPHASIS, FRAME_SIZE);
-  compute_frame_features(&st->enc, x);
-  process_single_frame(&st->enc, NULL);
-  if (st->loss_count == 0) {
-    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, st->features, plc_features);
-    lpcnet_synthesize_impl(&st->lpcnet, st->enc.features[0], &st->pcm[FRAME_SIZE-TRAINING_OFFSET], TRAINING_OFFSET, TRAINING_OFFSET);
-    lpcnet_synthesize_tail_impl(&st->lpcnet, pcm, FRAME_SIZE-TRAINING_OFFSET, FRAME_SIZE-TRAINING_OFFSET);
-  }
-  RNN_COPY(&pcm[FRAME_SIZE-TRAINING_OFFSET], pcm, TRAINING_OFFSET);
-  RNN_COPY(pcm, &st->pcm[TRAINING_OFFSET], FRAME_SIZE-TRAINING_OFFSET);
-  RNN_COPY(st->pcm, pcm_save, FRAME_SIZE);
-  st->loss_count = 0;
-  if (st->remove_dc) {
-    for (i=0;i<TRAINING_OFFSET;i++) pcm[i] += st->dc_buf[i];
-    for (;i<FRAME_SIZE;i++) pcm[i] += lp[i-TRAINING_OFFSET];
-    for (i=0;i<TRAINING_OFFSET;i++) st->dc_buf[i] = lp[FRAME_SIZE-TRAINING_OFFSET+i];
-  }
-  return 0;
-}
-
-static int lpcnet_plc_conceal_non_causal(LPCNetPLCState *st, short *pcm) {
-  int i;
-  float x[FRAME_SIZE];
-  float zeros[2*NB_BANDS+NB_FEATURES+1] = {0};
-  process_queued_update(st);
-  st->enc.pcount = 0;
-
-  compute_plc_pred(st, st->features, zeros);
-  if (st->loss_count >= 10) st->features[0] = MAX16(-10, st->features[0]+att_table[9] - 2*(st->loss_count-9));
-  else st->features[0] = MAX16(-10, st->features[0]+att_table[st->loss_count]);
-
-  if (st->loss_count == 0) {
-    RNN_COPY(pcm, &st->pcm[FRAME_SIZE-TRAINING_OFFSET], TRAINING_OFFSET);
-    lpcnet_synthesize_impl(&st->lpcnet, st->features, &st->pcm[FRAME_SIZE-TRAINING_OFFSET], TRAINING_OFFSET, TRAINING_OFFSET);
-    lpcnet_synthesize_tail_impl(&st->lpcnet, &pcm[TRAINING_OFFSET], FRAME_SIZE-TRAINING_OFFSET, 0);
-  } else {
-    lpcnet_synthesize_impl(&st->lpcnet, st->features, pcm, TRAINING_OFFSET, 0);
-    lpcnet_synthesize_tail_impl(&st->lpcnet, &pcm[TRAINING_OFFSET], FRAME_SIZE-TRAINING_OFFSET, 0);
-
-    RNN_COPY(&st->pcm[FRAME_SIZE-TRAINING_OFFSET], pcm, TRAINING_OFFSET);
-    for (i=0;i<FRAME_SIZE;i++) x[i] = st->pcm[i];
-    preemphasis(x, &st->enc.mem_preemph, x, PREEMPHASIS, FRAME_SIZE);
-    compute_frame_features(&st->enc, x);
-    process_single_frame(&st->enc, NULL);
-  }
-  RNN_COPY(st->pcm, &pcm[TRAINING_OFFSET], FRAME_SIZE-TRAINING_OFFSET);
-
-  if (st->remove_dc) {
-    int dc = (int)floor(.5 + st->dc_mem);
-    if (st->loss_count == 0) {
-        for (i=TRAINING_OFFSET;i<FRAME_SIZE;i++) st->syn_dc += DC_CONST*(pcm[i] - st->syn_dc);
-    } else {
-        for (i=0;i<FRAME_SIZE;i++) st->syn_dc += DC_CONST*(pcm[i] - st->syn_dc);
-    }
-    for (i=0;i<TRAINING_OFFSET;i++) pcm[i] += st->dc_buf[i];
-    for (;i<FRAME_SIZE;i++) pcm[i] += dc;
-    for (i=0;i<TRAINING_OFFSET;i++) st->dc_buf[i] = dc;
-  }
-  st->loss_count++;
-  return 0;
-}
-
-
-LPCNET_EXPORT int lpcnet_plc_update(LPCNetPLCState *st, short *pcm) {
-  if (st->non_causal) return lpcnet_plc_update_non_causal(st, pcm);
-  else return lpcnet_plc_update_causal(st, pcm);
-}
-
-LPCNET_EXPORT int lpcnet_plc_conceal(LPCNetPLCState *st, short *pcm) {
-  if (st->non_causal) return lpcnet_plc_conceal_non_causal(st, pcm);
-  else return lpcnet_plc_conceal_causal(st, pcm);
-}
diff --git a/dnn/lpcnet_private.h b/dnn/lpcnet_private.h
index e6fb57ed46b9bc42c22f9f3b15c37d2345cf6af8..a3eea0a6df230c920a1097cb9cfd240075637368 100644
--- a/dnn/lpcnet_private.h
+++ b/dnn/lpcnet_private.h
@@ -80,8 +80,6 @@ struct LPCNetPLCState {
   LPCNetState lpcnet;
   LPCNetEncState enc;
   int enable_blending;
-  int non_causal;
-  int remove_dc;
 
 #define LPCNET_PLC_RESET_START fec
   float fec[PLC_MAX_FEC][NB_FEATURES];
@@ -97,12 +95,6 @@ struct LPCNetPLCState {
   int loss_count;
   PLCNetState plc_net;
   PLCNetState plc_copy[FEATURES_DELAY+1];
-  double dc_mem;
-  double syn_dc;
-
-  short dc_buf[TRAINING_OFFSET];
-  int queued_update;
-  short queued_samples[FRAME_SIZE];
 };
 
 void preemphasis(float *y, float *mem, const float *x, float coef, int N);