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import os |
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from dataclasses import dataclass, field |
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from typing import Dict |
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from TTS.tts.configs.shared_configs import BaseTTSConfig |
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from TTS.tts.layers.bark.model import GPTConfig |
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from TTS.tts.layers.bark.model_fine import FineGPTConfig |
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from TTS.tts.models.bark import BarkAudioConfig |
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from TTS.utils.generic_utils import get_user_data_dir |
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@dataclass |
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class BarkConfig(BaseTTSConfig): |
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"""Bark TTS configuration |
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Args: |
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model (str): model name that registers the model. |
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audio (BarkAudioConfig): audio configuration. Defaults to BarkAudioConfig(). |
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num_chars (int): number of characters in the alphabet. Defaults to 0. |
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semantic_config (GPTConfig): semantic configuration. Defaults to GPTConfig(). |
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fine_config (FineGPTConfig): fine configuration. Defaults to FineGPTConfig(). |
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coarse_config (GPTConfig): coarse configuration. Defaults to GPTConfig(). |
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CONTEXT_WINDOW_SIZE (int): GPT context window size. Defaults to 1024. |
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SEMANTIC_RATE_HZ (float): semantic tokens rate in Hz. Defaults to 49.9. |
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SEMANTIC_VOCAB_SIZE (int): semantic vocabulary size. Defaults to 10_000. |
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CODEBOOK_SIZE (int): encodec codebook size. Defaults to 1024. |
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N_COARSE_CODEBOOKS (int): number of coarse codebooks. Defaults to 2. |
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N_FINE_CODEBOOKS (int): number of fine codebooks. Defaults to 8. |
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COARSE_RATE_HZ (int): coarse tokens rate in Hz. Defaults to 75. |
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SAMPLE_RATE (int): sample rate. Defaults to 24_000. |
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USE_SMALLER_MODELS (bool): use smaller models. Defaults to False. |
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TEXT_ENCODING_OFFSET (int): text encoding offset. Defaults to 10_048. |
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SEMANTIC_PAD_TOKEN (int): semantic pad token. Defaults to 10_000. |
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TEXT_PAD_TOKEN ([type]): text pad token. Defaults to 10_048. |
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TEXT_EOS_TOKEN ([type]): text end of sentence token. Defaults to 10_049. |
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TEXT_SOS_TOKEN ([type]): text start of sentence token. Defaults to 10_050. |
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SEMANTIC_INFER_TOKEN (int): semantic infer token. Defaults to 10_051. |
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COARSE_SEMANTIC_PAD_TOKEN (int): coarse semantic pad token. Defaults to 12_048. |
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COARSE_INFER_TOKEN (int): coarse infer token. Defaults to 12_050. |
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REMOTE_BASE_URL ([type]): remote base url. Defaults to "https://huggingface.co/erogol/bark/tree". |
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REMOTE_MODEL_PATHS (Dict): remote model paths. Defaults to None. |
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LOCAL_MODEL_PATHS (Dict): local model paths. Defaults to None. |
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SMALL_REMOTE_MODEL_PATHS (Dict): small remote model paths. Defaults to None. |
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CACHE_DIR (str): local cache directory. Defaults to get_user_data_dir(). |
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DEF_SPEAKER_DIR (str): default speaker directory to stoke speaker values for voice cloning. Defaults to get_user_data_dir(). |
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""" |
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model: str = "bark" |
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audio: BarkAudioConfig = field(default_factory=BarkAudioConfig) |
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num_chars: int = 0 |
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semantic_config: GPTConfig = field(default_factory=GPTConfig) |
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fine_config: FineGPTConfig = field(default_factory=FineGPTConfig) |
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coarse_config: GPTConfig = field(default_factory=GPTConfig) |
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CONTEXT_WINDOW_SIZE: int = 1024 |
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SEMANTIC_RATE_HZ: float = 49.9 |
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SEMANTIC_VOCAB_SIZE: int = 10_000 |
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CODEBOOK_SIZE: int = 1024 |
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N_COARSE_CODEBOOKS: int = 2 |
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N_FINE_CODEBOOKS: int = 8 |
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COARSE_RATE_HZ: int = 75 |
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SAMPLE_RATE: int = 24_000 |
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USE_SMALLER_MODELS: bool = False |
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TEXT_ENCODING_OFFSET: int = 10_048 |
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SEMANTIC_PAD_TOKEN: int = 10_000 |
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TEXT_PAD_TOKEN: int = 129_595 |
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SEMANTIC_INFER_TOKEN: int = 129_599 |
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COARSE_SEMANTIC_PAD_TOKEN: int = 12_048 |
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COARSE_INFER_TOKEN: int = 12_050 |
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REMOTE_BASE_URL = "https://huggingface.co/erogol/bark/tree/main/" |
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REMOTE_MODEL_PATHS: Dict = None |
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LOCAL_MODEL_PATHS: Dict = None |
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SMALL_REMOTE_MODEL_PATHS: Dict = None |
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CACHE_DIR: str = str(get_user_data_dir("tts/suno/bark_v0")) |
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DEF_SPEAKER_DIR: str = str(get_user_data_dir("tts/bark_v0/speakers")) |
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def __post_init__(self): |
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self.REMOTE_MODEL_PATHS = { |
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"text": { |
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"path": os.path.join(self.REMOTE_BASE_URL, "text_2.pt"), |
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"checksum": "54afa89d65e318d4f5f80e8e8799026a", |
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}, |
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"coarse": { |
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"path": os.path.join(self.REMOTE_BASE_URL, "coarse_2.pt"), |
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"checksum": "8a98094e5e3a255a5c9c0ab7efe8fd28", |
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}, |
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"fine": { |
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"path": os.path.join(self.REMOTE_BASE_URL, "fine_2.pt"), |
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"checksum": "59d184ed44e3650774a2f0503a48a97b", |
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}, |
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} |
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self.LOCAL_MODEL_PATHS = { |
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"text": os.path.join(self.CACHE_DIR, "text_2.pt"), |
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"coarse": os.path.join(self.CACHE_DIR, "coarse_2.pt"), |
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"fine": os.path.join(self.CACHE_DIR, "fine_2.pt"), |
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"hubert_tokenizer": os.path.join(self.CACHE_DIR, "tokenizer.pth"), |
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"hubert": os.path.join(self.CACHE_DIR, "hubert.pt"), |
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} |
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self.SMALL_REMOTE_MODEL_PATHS = { |
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"text": {"path": os.path.join(self.REMOTE_BASE_URL, "text.pt")}, |
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"coarse": {"path": os.path.join(self.REMOTE_BASE_URL, "coarse.pt")}, |
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"fine": {"path": os.path.join(self.REMOTE_BASE_URL, "fine.pt")}, |
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} |
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self.sample_rate = self.SAMPLE_RATE |
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