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