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Merge branch 'dev'; Replace the text normalization library

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刘鑫
2025-09-16 22:17:30 +08:00
parent e7012f1a94 605ac2d8e4
commit 5390a47862
1 changed files with 7 additions and 5 deletions
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12
src/voxcpm/core.py
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@@ -4,8 +4,6 @@ import os
import tempfile import tempfile
from huggingface_hub import snapshot_download from huggingface_hub import snapshot_download
from .model.voxcpm import VoxCPMModel from .model.voxcpm import VoxCPMModel
from .utils.text_normalize import TextNormalizer
class VoxCPM: class VoxCPM:
def __init__(self, def __init__(self,
@@ -25,7 +23,7 @@ class VoxCPM:
""" """
print(f"voxcpm_model_path: {voxcpm_model_path}, zipenhancer_model_path: {zipenhancer_model_path}, enable_denoiser: {enable_denoiser}") print(f"voxcpm_model_path: {voxcpm_model_path}, zipenhancer_model_path: {zipenhancer_model_path}, enable_denoiser: {enable_denoiser}")
self.tts_model = VoxCPMModel.from_local(voxcpm_model_path) self.tts_model = VoxCPMModel.from_local(voxcpm_model_path)
self.text_normalizer = TextNormalizer() self.text_normalizer = None
if enable_denoiser and zipenhancer_model_path is not None: if enable_denoiser and zipenhancer_model_path is not None:
from .zipenhancer import ZipEnhancer from .zipenhancer import ZipEnhancer
self.denoiser = ZipEnhancer(zipenhancer_model_path) self.denoiser = ZipEnhancer(zipenhancer_model_path)
@@ -33,8 +31,9 @@ class VoxCPM:
self.denoiser = None self.denoiser = None
print("Warm up VoxCPMModel...") print("Warm up VoxCPMModel...")
self.tts_model.generate( self.tts_model.generate(
target_text="Hello, this is the first test sentence." target_text="Hello, this is the first test sentence.",
) max_len=10,
)
@classmethod @classmethod
def from_pretrained(cls, def from_pretrained(cls,
@@ -145,6 +144,9 @@ class VoxCPM:
continue continue
print("sub_text:", sub_text) print("sub_text:", sub_text)
if normalize: if normalize:
if self.text_normalizer is None:
from .utils.text_normalize import TextNormalizer
self.text_normalizer = TextNormalizer()
sub_text = self.text_normalizer.normalize(sub_text) sub_text = self.text_normalizer.normalize(sub_text)
wav, target_text_token, generated_audio_feat = self.tts_model.generate_with_prompt_cache( wav, target_text_token, generated_audio_feat = self.tts_model.generate_with_prompt_cache(
target_text=sub_text, target_text=sub_text,