fix mlm_prob, test=tts

examples/aishell3/ernie_sat/local/train.sh

@@ -8,5 +8,5 @@ python3 ${BIN_DIR}/train.py \
     --dev-metadata=dump/dev/norm/metadata.jsonl \
     --config=${config_path} \
     --output-dir=${train_output_path} \
-    --ngpu=1 \
+    --ngpu=2 \
     --phones-dict=dump/phone_id_map.txt

examples/aishell3_vctk/ernie_sat/local/train.sh

@@ -8,5 +8,5 @@ python3 ${BIN_DIR}/train.py \
     --dev-metadata=dump/dev/norm/metadata.jsonl \
     --config=${config_path} \
     --output-dir=${train_output_path} \
-    --ngpu=1 \
+    --ngpu=2 \
     --phones-dict=dump/phone_id_map.txt

examples/vctk/ernie_sat/conf/default.yaml

@@ -79,7 +79,7 @@ grad_clip: 1.0
 ###########################################################
 #                     TRAINING SETTING                    #
 ###########################################################
-max_epoch: 200
+max_epoch: 600
 num_snapshots: 5
 
 ###########################################################
@@ -160,4 +160,4 @@ token_list:
 - UH0
 - AW0
 - OY0
-- <sos/eos>
+- <sos/eos>

examples/vctk/ernie_sat/local/train.sh

@@ -8,5 +8,5 @@ python3 ${BIN_DIR}/train.py \
     --dev-metadata=dump/dev/norm/metadata.jsonl \
     --config=${config_path} \
     --output-dir=${train_output_path} \
-    --ngpu=1 \
+    --ngpu=2 \
     --phones-dict=dump/phone_id_map.txt

paddlespeech/t2s/datasets/am_batch_fn.py

@@ -29,20 +29,13 @@ from paddlespeech.t2s.modules.nets_utils import phones_text_masking
 
 
 # 因为要传参数，所以需要额外构建
-def build_erniesat_collate_fn(
+def build_erniesat_collate_fn(mlm_prob: float=0.8,
-        mlm_prob: float=0.8,
+                              mean_phn_span: int=8,
-        mean_phn_span: int=8,
+                              seg_emb: bool=False,
-        seg_emb: bool=False,
+                              text_masking: bool=False):
-        text_masking: bool=False,
-        epoch: int=-1, ):
-
-    if epoch == -1:
-        mlm_prob_factor = 1
-    else:
-        mlm_prob_factor = 0.8
 
     return ErnieSATCollateFn(
-        mlm_prob=mlm_prob * mlm_prob_factor,
+        mlm_prob=mlm_prob,
         mean_phn_span=mean_phn_span,
         seg_emb=seg_emb,
         text_masking=text_masking)

paddlespeech/t2s/exps/ernie_sat/synthesize.py

@@ -73,8 +73,7 @@ def evaluate(args):
         mlm_prob=erniesat_config.mlm_prob,
         mean_phn_span=erniesat_config.mean_phn_span,
         seg_emb=erniesat_config.model['enc_input_layer'] == 'sega_mlm',
-        text_masking=False,
+        text_masking=False)
-        epoch=-1)
 
     gen_raw = True
     erniesat_mu, erniesat_std = np.load(args.erniesat_stat)

paddlespeech/t2s/exps/ernie_sat/train.py

@@ -84,8 +84,7 @@ def train_sp(args, config):
         mlm_prob=config.mlm_prob,
         mean_phn_span=config.mean_phn_span,
         seg_emb=config.model['enc_input_layer'] == 'sega_mlm',
-        text_masking=config["model"]["text_masking"],
+        text_masking=config["model"]["text_masking"])
-        epoch=config["max_epoch"])
 
     train_sampler = DistributedBatchSampler(
         train_dataset,