Merge branch 'tts-server3' of https://github.com/lym0302/PaddleSpeech into tts-server3

pull/1425/head
lym0302 3 years ago
commit 830e91ca5c

@ -12,17 +12,18 @@ port: 8692
# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
##################################################################
am: 'fastspeech2_csmsc'
am_model:
am_params:
phones_dict: './dict_dir/phone_id_map.txt'
am_model: # the pdmodel file of am static model
am_params: # the pdiparams file of am static model
sample_rate: 24000
phones_dict:
tones_dict:
speaker_dict:
spk_id: 0
am_predictor_conf:
use_gpu: 'true'
enable_mkldnn: 'true'
switch_ir_optim: 'true'
use_gpu: True
enable_mkldnn: True
switch_ir_optim: True
##################################################################
@ -30,16 +31,16 @@ am_predictor_conf:
# voc choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
##################################################################
voc: 'pwgan_csmsc'
voc_model:
voc_params:
voc_model: # the pdmodel file of vocoder static model
voc_params: # the pdiparams file of vocoder static model
voc_predictor_conf:
use_gpu: 'true'
enable_mkldnn: 'true'
switch_ir_optim: 'true'
use_gpu: True
enable_mkldnn: True
switch_ir_optim: True
##################################################################
# OTHERS #
##################################################################
lang: 'zh'
device: paddle.get_device()
device: paddle.get_device()

@ -36,8 +36,6 @@ from utils.errors import ErrorCode
from utils.exception import ServerBaseException
from utils.paddle_predictor import init_predictor
from utils.paddle_predictor import run_model
#from paddle.inference import Config
#from paddle.inference import create_predictor
__all__ = ['TTSEngine']
@ -48,7 +46,7 @@ pretrained_models = {
'url':
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_nosil_baker_static_0.5.zip',
'md5':
'9a849a74d1be0c758dd5a1b9c8f77f3d',
'f10cbdedf47dc7a9668d2264494e1823',
'model':
'speedyspeech_csmsc.pdmodel',
'params':
@ -57,19 +55,23 @@ pretrained_models = {
'phone_id_map.txt',
'tones_dict':
'tone_id_map.txt',
'sample_rate':
24000,
},
# fastspeech2
"fastspeech2_csmsc-zh": {
'url':
'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_baker_static_0.4.zip',
'md5':
'8eb01c2e4bc7e8b59beaa9fa046069cf',
'9788cd9745e14c7a5d12d32670b2a5a7',
'model':
'fastspeech2_csmsc.pdmodel',
'params':
'fastspeech2_csmsc.pdiparams',
'phones_dict':
'phone_id_map.txt',
'sample_rate':
24000,
},
# pwgan
"pwgan_csmsc-zh": {
@ -139,6 +141,7 @@ class TTSServerExecutor(TTSExecutor):
am: str='fastspeech2_csmsc',
am_model: Optional[os.PathLike]=None,
am_params: Optional[os.PathLike]=None,
sample_rate: int=24000,
phones_dict: Optional[os.PathLike]=None,
tones_dict: Optional[os.PathLike]=None,
speaker_dict: Optional[os.PathLike]=None,
@ -156,11 +159,7 @@ class TTSServerExecutor(TTSExecutor):
return
# am
am_tag = am + '-' + lang
if phones_dict is None:
print("please input phones_dict!")
### 后续下载的模型里加上 phone 和 tone的 dict 就不用这个了
#if am_model is None or am_params is None or phones_dict is None:
if am_model is None or am_params is None:
if am_model is None or am_params is None or phones_dict is None:
am_res_path = self._get_pretrained_path(am_tag)
self.am_res_path = am_res_path
self.am_model = os.path.join(am_res_path,
@ -168,10 +167,10 @@ class TTSServerExecutor(TTSExecutor):
self.am_params = os.path.join(am_res_path,
pretrained_models[am_tag]['params'])
# must have phones_dict in acoustic
#self.phones_dict = os.path.join(
#am_res_path, pretrained_models[am_tag]['phones_dict'])
self.phones_dict = os.path.join(
am_res_path, pretrained_models[am_tag]['phones_dict'])
self.sample_rate = pretrained_models[am_tag]['sample_rate']
self.phones_dict = os.path.abspath(phones_dict)
logger.info(am_res_path)
logger.info(self.am_model)
logger.info(self.am_params)
@ -179,6 +178,7 @@ class TTSServerExecutor(TTSExecutor):
self.am_model = os.path.abspath(am_model)
self.am_params = os.path.abspath(am_params)
self.phones_dict = os.path.abspath(phones_dict)
self.sample_rate = sample_rate
self.am_res_path = os.path.dirname(os.path.abspath(self.am_model))
print("self.phones_dict:", self.phones_dict)
@ -343,6 +343,7 @@ class TTSEngine(BaseEngine):
am=self.conf_dict["am"],
am_model=self.conf_dict["am_model"],
am_params=self.conf_dict["am_params"],
sample_rate=self.conf_dict["sample_rate"],
phones_dict=self.conf_dict["phones_dict"],
tones_dict=self.conf_dict["tones_dict"],
speaker_dict=self.conf_dict["speaker_dict"],
@ -450,8 +451,7 @@ class TTSEngine(BaseEngine):
try:
target_sample_rate, wav_base64 = self.postprocess(
wav=self.executor._outputs['wav'].numpy(),
#original_fs=self.executor.am_config.fs,
original_fs=24000, # TODO get sample rate from model
original_fs=self.executor.sample_rate,
target_fs=sample_rate,
volume=volume,
speed=speed,

@ -12,6 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import List
from typing import Optional
from paddle.inference import Config
@ -31,21 +32,20 @@ def init_predictor(model_dir: Optional[os.PathLike]=None,
predictor_conf (dict, optional): The configuration parameters of predictor. Defaults to None.
Returns:
[type]: [description]
predictor (PaddleInferPredictor): created predictor
"""
if model_dir is not None:
config = Config(args.model_dir)
else:
config = Config(model_file, params_file)
config.enable_memory_optim()
if "use_gpu" in predictor_conf and predictor_conf["use_gpu"] == "true":
if predictor_conf["use_gpu"]:
config.enable_use_gpu(1000, 0)
if "enable_mkldnn" in predictor_conf and predictor_conf[
"enable_mkldnn"] == "true":
if predictor_conf["enable_mkldnn"]:
config.enable_mkldnn()
if "switch_ir_optim" in predictor_conf and predictor_conf[
"switch_ir_optim"] == "true":
if predictor_conf["switch_ir_optim"]:
config.switch_ir_optim()
predictor = create_predictor(config)
@ -53,7 +53,7 @@ def init_predictor(model_dir: Optional[os.PathLike]=None,
return predictor
def run_model(predictor, input: list):
def run_model(predictor, input: List) -> List:
""" run predictor
Args:

Loading…
Cancel
Save