Source code for pythaitts

# -*- coding: utf-8 -*-
"""
PyThaiTTS
"""
__version__ = "0.2.1"


[docs]class TTS:
[docs] def __init__(self, pretrained="khanomtan", mode="last_checkpoint", version="1.0", device:str="cpu") -> None: """ :param str pretrained: TTS pretrained (khanomtan, lunarlist) :param str mode: pretrained mode :param str version: model version (default is 1.0 or 1.1) **Options for mode** * *last_checkpoint* (default) - last checkpoint of model * *best_model* - Best model (best loss) You can see more about khanomtan tts at `https://github.com/wannaphong/KhanomTan-TTS-v1.0 <https://github.com/wannaphong/KhanomTan-TTS-v1.0>`_ and `https://github.com/wannaphong/KhanomTan-TTS-v1.1 <https://github.com/wannaphong/KhanomTan-TTS-v1.1>`_ For lunarlist tts model, you must to install nemo before use the model by pip install nemo_toolkit['tts']. You can see more about lunarlist tts at `https://link.medium.com/OpPjQis6wBb <https://link.medium.com/OpPjQis6wBb>`_ """ self.pretrained = pretrained self.mode = mode self.device = device self.load_pretrained(version=version)
[docs] def load_pretrained(self,version): """ Load pretrined """ if self.pretrained == "khanomtan": from pythaitts.pretrained import KhanomTan self.model = KhanomTan(mode=self.mode, version=version) elif self.pretrained == "lunarlist": from pythaitts.pretrained import LunarlistModel self.model = LunarlistModel(mode=self.mode, device=self.device) else: raise NotImplemented( "PyThaiTTS doesn't support %s pretrained." % self.pretrained )
[docs] def tts(self, text: str, speaker_idx: str = "Linda", language_idx: str = "th-th", return_type: str = "file", filename: str = None): """ speech synthesis :param str text: text :param str speaker_idx: speaker (default is Linda) :param str language_idx: language (default is th-th) :param str return_type: return type (default is file) :param str filename: path filename for save wav file if return_type is file. """ if self.pretrained == "lunarlist": return self.model(text=text,return_type=return_type,filename=filename) return self.model( text=text, speaker_idx=speaker_idx, language_idx=language_idx, return_type=return_type, filename=filename )