Refactor: separate adjust_voice() function from tts_model.py
This commit is contained in:
@@ -25,54 +25,23 @@ from style_bert_vits2.models.infer import get_net_g, infer
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from style_bert_vits2.models.models import SynthesizerTrn
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from style_bert_vits2.models.models import SynthesizerTrn
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from style_bert_vits2.models.models_jp_extra import SynthesizerTrn as SynthesizerTrnJPExtra
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from style_bert_vits2.models.models_jp_extra import SynthesizerTrn as SynthesizerTrnJPExtra
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from style_bert_vits2.logging import logger
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from style_bert_vits2.logging import logger
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from style_bert_vits2.voice import adjust_voice
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def adjust_voice(
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fs: int,
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wave: NDArray[Any],
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pitch_scale: float,
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intonation_scale: float,
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) -> tuple[int, NDArray[Any]]:
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if pitch_scale == 1.0 and intonation_scale == 1.0:
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# 初期値の場合は、音質劣化を避けるためにそのまま返す
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return fs, wave
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try:
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import pyworld
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except ImportError:
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raise ImportError(
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"pyworld is not installed. Please install it by `pip install pyworld`"
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)
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# pyworld で f0 を加工して合成
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# pyworld よりもよいのがあるかもしれないが……
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## pyworld は Cython で書かれているが、スタブファイルがないため型補完が全く効かない…
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wave = wave.astype(np.double)
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# 質が高そうだしとりあえずharvestにしておく
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f0, t = pyworld.harvest(wave, fs) # type: ignore
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sp = pyworld.cheaptrick(wave, f0, t, fs) # type: ignore
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ap = pyworld.d4c(wave, f0, t, fs) # type: ignore
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non_zero_f0 = [f for f in f0 if f != 0]
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f0_mean = sum(non_zero_f0) / len(non_zero_f0)
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for i, f in enumerate(f0):
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if f == 0:
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continue
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f0[i] = pitch_scale * f0_mean + intonation_scale * (f - f0_mean)
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wave = pyworld.synthesize(f0, sp, ap, fs) # type: ignore
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return fs, wave
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class Model:
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class Model:
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"""
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Style-Bert-Vits2 の音声合成モデルを操作するためのクラス
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モデル/ハイパーパラメータ/スタイルベクトルのパスとデバイスを指定して初期化し、model.infer() メソッドを呼び出すと音声合成を行える
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"""
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def __init__(
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def __init__(
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self, model_path: Path, config_path: Path, style_vec_path: Path, device: str
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self,
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):
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model_path: Path,
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config_path: Path,
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style_vec_path: Path,
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device: str,
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) -> None:
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self.model_path: Path = model_path
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self.model_path: Path = model_path
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self.config_path: Path = config_path
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self.config_path: Path = config_path
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self.style_vec_path: Path = style_vec_path
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self.style_vec_path: Path = style_vec_path
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@@ -99,7 +68,8 @@ class Model:
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self.net_g: Union[SynthesizerTrn, SynthesizerTrnJPExtra, None] = None
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self.net_g: Union[SynthesizerTrn, SynthesizerTrnJPExtra, None] = None
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def load_net_g(self):
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def load_net_g(self) -> None:
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self.net_g = get_net_g(
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self.net_g = get_net_g(
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model_path=str(self.model_path),
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model_path=str(self.model_path),
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version=self.hps.version,
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version=self.hps.version,
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@@ -107,15 +77,15 @@ class Model:
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hps=self.hps,
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hps=self.hps,
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)
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)
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def get_style_vector(self, style_id: int, weight: float = 1.0) -> NDArray[Any]:
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def get_style_vector(self, style_id: int, weight: float = 1.0) -> NDArray[Any]:
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mean = self.style_vectors[0]
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mean = self.style_vectors[0]
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style_vec = self.style_vectors[style_id]
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style_vec = self.style_vectors[style_id]
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style_vec = mean + (style_vec - mean) * weight
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style_vec = mean + (style_vec - mean) * weight
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return style_vec
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return style_vec
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def get_style_vector_from_audio(
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self, audio_path: str, weight: float = 1.0
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def get_style_vector_from_audio(self, audio_path: str, weight: float = 1.0) -> NDArray[Any]:
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) -> NDArray[Any]:
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from style_gen import get_style_vector
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from style_gen import get_style_vector
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xvec = get_style_vector(audio_path)
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xvec = get_style_vector(audio_path)
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@@ -123,6 +93,7 @@ class Model:
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xvec = mean + (xvec - mean) * weight
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xvec = mean + (xvec - mean) * weight
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return xvec
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return xvec
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def infer(
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def infer(
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self,
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self,
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text: str,
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text: str,
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@@ -223,8 +194,13 @@ class Model:
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class ModelHolder:
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class ModelHolder:
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def __init__(self, root_dir: Path, device: str):
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"""
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self.root_dir: Path = root_dir
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Style-Bert-Vits2 の音声合成モデルを管理するためのクラス
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"""
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def __init__(self, model_root_dir: Path, device: str) -> None:
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self.root_dir: Path = model_root_dir
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self.device: str = device
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self.device: str = device
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self.model_files_dict: dict[str, list[Path]] = {}
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self.model_files_dict: dict[str, list[Path]] = {}
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self.current_model: Optional[Model] = None
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self.current_model: Optional[Model] = None
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@@ -233,7 +209,8 @@ class ModelHolder:
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self.models_info: list[dict[str, Union[str, list[str]]]] = []
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self.models_info: list[dict[str, Union[str, list[str]]]] = []
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self.refresh()
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self.refresh()
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def refresh(self):
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def refresh(self) -> None:
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self.model_files_dict = {}
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self.model_files_dict = {}
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self.model_names = []
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self.model_names = []
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self.current_model = None
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self.current_model = None
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@@ -269,7 +246,8 @@ class ModelHolder:
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"speakers": speakers,
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"speakers": speakers,
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})
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})
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def load_model(self, model_name: str, model_path_str: str):
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def load_model(self, model_name: str, model_path_str: str) -> Model:
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model_path = Path(model_path_str)
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model_path = Path(model_path_str)
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if model_name not in self.model_files_dict:
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if model_name not in self.model_files_dict:
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raise ValueError(f"Model `{model_name}` is not found")
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raise ValueError(f"Model `{model_name}` is not found")
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@@ -284,9 +262,8 @@ class ModelHolder:
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)
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)
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return self.current_model
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return self.current_model
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def load_model_gr(
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self, model_name: str, model_path_str: str
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def load_model_for_gradio(self, model_name: str, model_path_str: str) -> tuple[gr.Dropdown, gr.Button, gr.Dropdown]:
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) -> tuple[gr.Dropdown, gr.Button, gr.Dropdown]:
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model_path = Path(model_path_str)
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model_path = Path(model_path_str)
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if model_name not in self.model_files_dict:
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if model_name not in self.model_files_dict:
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raise ValueError(f"Model `{model_name}` is not found")
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raise ValueError(f"Model `{model_name}` is not found")
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@@ -318,11 +295,13 @@ class ModelHolder:
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gr.Dropdown(choices=speakers, value=speakers[0]), # type: ignore
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gr.Dropdown(choices=speakers, value=speakers[0]), # type: ignore
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)
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)
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def update_model_files_gr(self, model_name: str) -> gr.Dropdown:
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def update_model_files_for_gradio(self, model_name: str) -> gr.Dropdown:
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model_files = self.model_files_dict[model_name]
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model_files = self.model_files_dict[model_name]
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return gr.Dropdown(choices=model_files, value=model_files[0]) # type: ignore
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return gr.Dropdown(choices=model_files, value=model_files[0]) # type: ignore
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def update_model_names_gr(self) -> tuple[gr.Dropdown, gr.Dropdown, gr.Button]:
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def update_model_names_for_gradio(self) -> tuple[gr.Dropdown, gr.Dropdown, gr.Button]:
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self.refresh()
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self.refresh()
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initial_model_name = self.model_names[0]
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initial_model_name = self.model_names[0]
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initial_model_files = self.model_files_dict[initial_model_name]
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initial_model_files = self.model_files_dict[initial_model_name]
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46
style_bert_vits2/voice.py
Normal file
46
style_bert_vits2/voice.py
Normal file
@@ -0,0 +1,46 @@
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from typing import Any
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import numpy as np
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from numpy.typing import NDArray
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def adjust_voice(
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fs: int,
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wave: NDArray[Any],
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pitch_scale: float = 1.0,
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intonation_scale: float = 1.0,
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) -> tuple[int, NDArray[Any]]:
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if pitch_scale == 1.0 and intonation_scale == 1.0:
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# 初期値の場合は、音質劣化を避けるためにそのまま返す
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return fs, wave
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try:
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import pyworld
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except ImportError:
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raise ImportError(
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"pyworld is not installed. Please install it by `pip install pyworld`"
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)
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# pyworld で f0 を加工して合成
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# pyworld よりもよいのがあるかもしれないが……
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## pyworld は Cython で書かれているが、スタブファイルがないため型補完が全く効かない…
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wave = wave.astype(np.double)
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# 質が高そうだしとりあえずharvestにしておく
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f0, t = pyworld.harvest(wave, fs) # type: ignore
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sp = pyworld.cheaptrick(wave, f0, t, fs) # type: ignore
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ap = pyworld.d4c(wave, f0, t, fs) # type: ignore
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non_zero_f0 = [f for f in f0 if f != 0]
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f0_mean = sum(non_zero_f0) / len(non_zero_f0)
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for i, f in enumerate(f0):
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if f == 0:
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continue
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f0[i] = pitch_scale * f0_mean + intonation_scale * (f - f0_mean)
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wave = pyworld.synthesize(f0, sp, ap, fs) # type: ignore
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return fs, wave
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@@ -446,7 +446,7 @@ def create_inference_app(model_holder: ModelHolder) -> gr.Blocks:
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)
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)
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model_name.change(
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model_name.change(
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model_holder.update_model_files_gr,
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model_holder.update_model_files_for_gradio,
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inputs=[model_name],
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inputs=[model_name],
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outputs=[model_path],
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outputs=[model_path],
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)
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)
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@@ -454,12 +454,12 @@ def create_inference_app(model_holder: ModelHolder) -> gr.Blocks:
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model_path.change(make_non_interactive, outputs=[tts_button])
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model_path.change(make_non_interactive, outputs=[tts_button])
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refresh_button.click(
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refresh_button.click(
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model_holder.update_model_names_gr,
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model_holder.update_model_names_for_gradio,
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outputs=[model_name, model_path, tts_button],
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outputs=[model_name, model_path, tts_button],
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)
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)
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load_button.click(
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load_button.click(
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model_holder.load_model_gr,
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model_holder.load_model_for_gradio,
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inputs=[model_name, model_path],
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inputs=[model_name, model_path],
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outputs=[style, tts_button, speaker],
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outputs=[style, tts_button, speaker],
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)
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)
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@@ -255,7 +255,7 @@ def simple_tts(model_name, text, style=DEFAULT_STYLE, style_weight=1.0):
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def update_two_model_names_dropdown(model_holder: ModelHolder):
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def update_two_model_names_dropdown(model_holder: ModelHolder):
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new_names, new_files, _ = model_holder.update_model_names_gr()
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new_names, new_files, _ = model_holder.update_model_names_for_gradio()
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return new_names, new_files, new_names, new_files
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return new_names, new_files, new_names, new_files
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@@ -444,12 +444,12 @@ def create_merge_app(model_holder: ModelHolder) -> gr.Blocks:
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audio_output = gr.Audio(label="結果")
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audio_output = gr.Audio(label="結果")
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model_name_a.change(
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model_name_a.change(
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model_holder.update_model_files_gr,
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model_holder.update_model_files_for_gradio,
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inputs=[model_name_a],
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inputs=[model_name_a],
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outputs=[model_path_a],
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outputs=[model_path_a],
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)
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)
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model_name_b.change(
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model_name_b.change(
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model_holder.update_model_files_gr,
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model_holder.update_model_files_for_gradio,
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inputs=[model_name_b],
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inputs=[model_name_b],
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outputs=[model_path_b],
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outputs=[model_path_b],
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)
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)
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