You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
184 lines
6.3 KiB
184 lines
6.3 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import base64
|
|
import io
|
|
|
|
import librosa
|
|
import numpy as np
|
|
import soundfile as sf
|
|
from engine.base_engine import BaseEngine
|
|
from scipy.io import wavfile
|
|
|
|
from paddlespeech.cli.log import logger
|
|
from paddlespeech.cli.tts.infer import TTSExecutor
|
|
from utils.audio_process import change_speed
|
|
from utils.config import get_config
|
|
from utils.errors import ErrorCode
|
|
from utils.exception import ServerBaseException
|
|
|
|
__all__ = ['TTSEngine']
|
|
|
|
|
|
class TTSServerExecutor(TTSExecutor):
|
|
def __init__(self):
|
|
super().__init__()
|
|
pass
|
|
|
|
|
|
class TTSEngine(BaseEngine):
|
|
"""TTS server engine
|
|
|
|
Args:
|
|
metaclass: Defaults to Singleton.
|
|
"""
|
|
|
|
def __init__(self, name=None):
|
|
"""Initialize TTS server engine
|
|
"""
|
|
super(TTSEngine, self).__init__()
|
|
|
|
def init(self, config_file: str) -> bool:
|
|
self.executor = TTSServerExecutor()
|
|
self.config_file = config_file
|
|
self.config = get_config(config_file)
|
|
|
|
self.executor._init_from_path(
|
|
am=self.config.am,
|
|
am_config=self.config.am_config,
|
|
am_ckpt=self.config.am_ckpt,
|
|
am_stat=self.config.am_stat,
|
|
phones_dict=self.config.phones_dict,
|
|
tones_dict=self.config.tones_dict,
|
|
speaker_dict=self.config.speaker_dict,
|
|
voc=self.config.voc,
|
|
voc_config=self.config.voc_config,
|
|
voc_ckpt=self.config.voc_ckpt,
|
|
voc_stat=self.config.voc_stat,
|
|
lang=self.config.lang)
|
|
|
|
logger.info("Initialize TTS server engine successfully.")
|
|
return True
|
|
|
|
def postprocess(self,
|
|
wav,
|
|
original_fs: int,
|
|
target_fs: int=16000,
|
|
volume: float=1.0,
|
|
speed: float=1.0,
|
|
audio_path: str=None):
|
|
"""Post-processing operations, including speech, volume, sample rate, save audio file
|
|
|
|
Args:
|
|
wav (numpy(float)): Synthesized audio sample points
|
|
original_fs (int): original audio sample rate
|
|
target_fs (int): target audio sample rate
|
|
volume (float): target volume
|
|
speed (float): target speed
|
|
|
|
Raises:
|
|
ServerBaseException: Throws an exception if the change speed unsuccessfully.
|
|
|
|
Returns:
|
|
target_fs: target sample rate for synthesized audio.
|
|
wav_base64: The base64 format of the synthesized audio.
|
|
"""
|
|
|
|
# transform sample_rate
|
|
if target_fs == 0 or target_fs > original_fs:
|
|
target_fs = original_fs
|
|
wav_tar_fs = wav
|
|
else:
|
|
wav_tar_fs = librosa.resample(
|
|
np.squeeze(wav), original_fs, target_fs)
|
|
|
|
# transform volume
|
|
wav_vol = wav_tar_fs * volume
|
|
|
|
# transform speed
|
|
try: # windows not support soxbindings
|
|
wav_speed = change_speed(wav_vol, speed, target_fs)
|
|
except:
|
|
raise ServerBaseException(
|
|
ErrorCode.SERVER_INTERNAL_ERR,
|
|
"Can not install soxbindings on your system.")
|
|
|
|
# wav to base64
|
|
buf = io.BytesIO()
|
|
wavfile.write(buf, target_fs, wav_speed)
|
|
base64_bytes = base64.b64encode(buf.read())
|
|
wav_base64 = base64_bytes.decode('utf-8')
|
|
|
|
# save audio
|
|
if audio_path is not None and audio_path.endswith(".wav"):
|
|
sf.write(audio_path, wav_speed, target_fs)
|
|
elif audio_path is not None and audio_path.endswith(".pcm"):
|
|
wav_norm = wav_speed * (32767 / max(0.001,
|
|
np.max(np.abs(wav_speed))))
|
|
with open(audio_path, "wb") as f:
|
|
f.write(wav_norm.astype(np.int16))
|
|
|
|
return target_fs, wav_base64
|
|
|
|
def run(self,
|
|
sentence: str,
|
|
spk_id: int=0,
|
|
speed: float=1.0,
|
|
volume: float=1.0,
|
|
sample_rate: int=0,
|
|
save_path: str=None):
|
|
""" run include inference and postprocess.
|
|
|
|
Args:
|
|
sentence (str): text to be synthesized
|
|
spk_id (int, optional): speaker id for multi-speaker speech synthesis. Defaults to 0.
|
|
speed (float, optional): speed. Defaults to 1.0.
|
|
volume (float, optional): volume. Defaults to 1.0.
|
|
sample_rate (int, optional): target sample rate for synthesized audio,
|
|
0 means the same as the model sampling rate. Defaults to 0.
|
|
save_path (str, optional): The save path of the synthesized audio.
|
|
None means do not save audio. Defaults to None.
|
|
|
|
Raises:
|
|
ServerBaseException: Throws an exception if tts inference unsuccessfully.
|
|
ServerBaseException: Throws an exception if postprocess unsuccessfully.
|
|
|
|
Returns:
|
|
lang: model language
|
|
target_sample_rate: target sample rate for synthesized audio.
|
|
wav_base64: The base64 format of the synthesized audio.
|
|
"""
|
|
|
|
lang = self.config.lang
|
|
|
|
try:
|
|
self.executor.infer(
|
|
text=sentence, lang=lang, am=self.config.am, spk_id=spk_id)
|
|
except:
|
|
raise ServerBaseException(ErrorCode.SERVER_INTERNAL_ERR,
|
|
"tts infer failed.")
|
|
|
|
try:
|
|
target_sample_rate, wav_base64 = self.postprocess(
|
|
wav=self.executor._outputs['wav'].numpy(),
|
|
original_fs=self.executor.am_config.fs,
|
|
target_fs=sample_rate,
|
|
volume=volume,
|
|
speed=speed,
|
|
audio_path=save_path)
|
|
except:
|
|
raise ServerBaseException(ErrorCode.SERVER_INTERNAL_ERR,
|
|
"tts postprocess failed.")
|
|
|
|
return lang, target_sample_rate, wav_base64
|