diff --git a/Ref_Audio_Selector/ref_audio_selector_webui.py b/Ref_Audio_Selector/ref_audio_selector_webui.py index c0ba953..b242213 100644 --- a/Ref_Audio_Selector/ref_audio_selector_webui.py +++ b/Ref_Audio_Selector/ref_audio_selector_webui.py @@ -12,20 +12,18 @@ i18n = I18nAuto() # 校验基础信息 -def check_base_info(text_work_space_dir, text_character): +def check_base_info(text_work_space_dir): if text_work_space_dir is None or text_work_space_dir == '': raise Exception(i18n("工作目录不能为空")) - if text_character is None or text_character == '': - raise Exception(i18n("角色名称不能为空")) # 从list文件，提取参考音频 -def convert_from_list(text_work_space_dir, text_character, text_list_input): +def convert_from_list(text_work_space_dir, text_list_input): ref_audio_all = os.path.join(text_work_space_dir, 'refer_audio_all') text_convert_from_list_info = f"转换成功：生成目录{ref_audio_all}" text_sample_dir = ref_audio_all try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_list_input is None or text_list_input == '': raise Exception(i18n("list文件路径不能为空")) audio_similarity.convert_from_list(text_list_input, ref_audio_all) @@ -36,12 +34,12 @@ def convert_from_list(text_work_space_dir, text_character, text_list_input): # 基于一个基准音频，从参考音频目录中进行分段抽样 -def sample(text_work_space_dir, text_character, text_sample_dir, text_base_voice_path, +def sample(text_work_space_dir, text_sample_dir, text_base_voice_path, text_subsection_num, text_sample_num, checkbox_similarity_output): ref_audio_dir = os.path.join(text_work_space_dir, 'refer_audio') text_sample_info = f"抽样成功：生成目录{ref_audio_dir}" try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_sample_dir is None or text_sample_dir == '': raise Exception(i18n("参考音频抽样目录不能为空，请先完成上一步操作")) if text_base_voice_path is None or text_base_voice_path == '': @@ -70,14 +68,14 @@ def sample(text_work_space_dir, text_character, text_sample_dir, text_base_voice # 根据参考音频和测试文本，执行批量推理 -def model_inference(text_work_space_dir, text_character, text_model_inference_voice_dir, text_url, +def model_inference(text_work_space_dir, text_model_inference_voice_dir, text_url, text_text, text_ref_path, text_ref_text, text_emotion, text_test_content): inference_dir = os.path.join(text_work_space_dir, 'inference_audio') text_asr_audio_dir = os.path.join(inference_dir, 'text') text_model_inference_info = f"推理成功：生成目录{inference_dir}" try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_model_inference_voice_dir is None or text_model_inference_voice_dir == '': raise Exception(i18n("待推理的参考音频所在目录不能为空，请先完成上一步操作")) if text_url is None or text_url == '': @@ -106,13 +104,13 @@ def model_inference(text_work_space_dir, text_character, text_model_inference_vo # 对推理生成音频执行asr -def asr(text_work_space_dir, text_character, text_asr_audio_dir, dropdown_asr_model, +def asr(text_work_space_dir, text_asr_audio_dir, dropdown_asr_model, dropdown_asr_size, dropdown_asr_lang): asr_file = None text_text_similarity_analysis_path = None text_asr_info = None try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_asr_audio_dir is None or text_asr_audio_dir == '': raise Exception(i18n("待asr的音频所在目录不能为空，请先完成上一步操作")) if dropdown_asr_model is None or dropdown_asr_model == '': @@ -132,12 +130,12 @@ def asr(text_work_space_dir, text_character, text_asr_audio_dir, dropdown_asr_mo # 对asr生成的文件，与原本的文本内容，进行相似度分析 -def text_similarity_analysis(text_work_space_dir, text_character, +def text_similarity_analysis(text_work_space_dir, text_text_similarity_analysis_path): similarity_file = os.path.join(text_work_space_dir, 'similarity.txt') text_text_similarity_analysis_info = f"相似度分析成功：生成文件{similarity_file}" try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_text_similarity_analysis_path is None or text_text_similarity_analysis_path == '': raise Exception(i18n("asr生成的文件路径不能为空，请先完成上一步操作")) pass @@ -147,11 +145,11 @@ def text_similarity_analysis(text_work_space_dir, text_character, # 根据一个参考音频，对指定目录下的音频进行相似度分析，并输出到另一个目录 -def similarity_audio_output(text_work_space_dir, text_character, text_base_audio_path, +def similarity_audio_output(text_work_space_dir, text_base_audio_path, text_compare_audio_dir): text_similarity_audio_output_info = "相似度分析成功：生成目录XXX" try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_base_audio_path is None or text_base_audio_path == '': raise Exception(i18n("基准音频路径不能为空")) if text_compare_audio_dir is None or text_compare_audio_dir == '': @@ -170,11 +168,11 @@ def similarity_audio_output(text_work_space_dir, text_character, text_base_audio # 根据参考音频目录的删除情况，将其同步到推理生成的音频目录中，即参考音频目录下，删除了几个参考音频，就在推理目录下，将这些参考音频生成的音频文件移除 -def sync_ref_audio(text_work_space_dir, text_character, text_sync_ref_audio_dir, +def sync_ref_audio(text_work_space_dir, text_sync_ref_audio_dir, text_sync_inference_audio_dir): text_sync_ref_audio_info = "同步参考音频成功：生成目录XXX" try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_sync_ref_audio_dir is None or text_sync_ref_audio_dir == '': raise Exception(i18n("参考音频目录不能为空")) if text_sync_inference_audio_dir is None or text_sync_inference_audio_dir == '': @@ -186,11 +184,11 @@ def sync_ref_audio(text_work_space_dir, text_character, text_sync_ref_audio_dir, # 根据模板和参考音频目录，生成参考音频配置内容 -def create_config(text_work_space_dir, text_character, text_template, text_sync_ref_audio_dir2): +def create_config(text_work_space_dir, text_template, text_sync_ref_audio_dir2): config_file = os.path.join(text_work_space_dir, 'refer_audio.json') text_create_config_info = f"配置生成成功：生成文件{config_file}" try: - check_base_info(text_work_space_dir, text_character) + check_base_info(text_work_space_dir) if text_template is None or text_template == '': raise Exception(i18n("参考音频抽样目录不能为空")) if text_sync_ref_audio_dir2 is None or text_sync_ref_audio_dir2 == '': @@ -214,9 +212,7 @@ def whole_url(text_url, text_text, text_ref_path, text_ref_text, text_emotion): with gr.Blocks() as app: gr.Markdown(value=i18n("基本介绍：这是一个从训练素材中，批量提取参考音频，并进行效果评估与配置生成的工具")) - with gr.Row(): - text_work_space_dir = gr.Text(label=i18n("工作目录，后续操作所生成文件都会保存在此目录下"), value="") - text_character = gr.Text(label=i18n("请输入角色名称"), value="") + text_work_space_dir = gr.Text(label=i18n("工作目录，后续操作所生成文件都会保存在此目录下"), value="") with gr.Accordion(label=i18n("第一步：基于训练素材，生成待选参考音频列表"), open=False): gr.Markdown(value=i18n("1.1：选择list文件，并提取3-10秒的素材作为参考候选")) text_list_input = gr.Text(label=i18n("请输入list文件路径"), value="") @@ -225,7 +221,7 @@ with gr.Blocks() as app: text_convert_from_list_info = gr.Text(label=i18n("参考列表生成结果"), value="", interactive=False) gr.Markdown(value=i18n("1.2：选择基准音频，执行相似度匹配，并分段随机抽样")) text_sample_dir = gr.Text(label=i18n("参考音频抽样目录"), value="", interactive=False) - button_convert_from_list.click(convert_from_list, [text_work_space_dir, text_character, text_list_input], + button_convert_from_list.click(convert_from_list, [text_work_space_dir, text_list_input], [text_convert_from_list_info, text_sample_dir]) with gr.Row(): text_base_voice_path = gr.Text(label=i18n("请输入基准音频路径"), value="") @@ -267,7 +263,7 @@ with gr.Blocks() as app: gr.Markdown(value=i18n("3.1：启动asr，获取推理音频文本")) text_asr_audio_dir = gr.Text(label=i18n("待asr的音频所在目录"), value="", interactive=False) button_model_inference.click(model_inference, - [text_work_space_dir, text_character, text_model_inference_voice_dir, text_url, + [text_work_space_dir, text_model_inference_voice_dir, text_url, text_text, text_ref_path, text_ref_text, text_emotion, text_test_content], [text_model_inference_info, text_asr_audio_dir]) with gr.Row(): @@ -294,13 +290,13 @@ with gr.Blocks() as app: text_asr_info = gr.Text(label=i18n("asr结果"), value="", interactive=False) gr.Markdown(value=i18n("3.2：启动文本相似度分析")) text_text_similarity_analysis_path = gr.Text(label=i18n("待分析的文件路径"), value="", interactive=False) - button_asr.click(asr, [text_work_space_dir, text_character, text_asr_audio_dir, dropdown_asr_model, + button_asr.click(asr, [text_work_space_dir, text_asr_audio_dir, dropdown_asr_model, dropdown_asr_size, dropdown_asr_lang], [text_asr_info, text_text_similarity_analysis_path]) with gr.Row(): button_text_similarity_analysis = gr.Button(i18n("启动文本相似度分析"), variant="primary") text_text_similarity_analysis_info = gr.Text(label=i18n("文本相似度分析结果"), value="", interactive=False) - button_text_similarity_analysis.click(text_similarity_analysis, [text_work_space_dir, text_character, + button_text_similarity_analysis.click(text_similarity_analysis, [text_work_space_dir, text_text_similarity_analysis_path], [text_text_similarity_analysis_info]) gr.Markdown(value=i18n("3.3：根据相似度分析结果，重点检查最后几条是否存在复读等问题")) @@ -312,7 +308,7 @@ with gr.Blocks() as app: button_similarity_audio_output = gr.Button(i18n("输出相似度-参考音频到临时目录"), variant="primary") text_similarity_audio_output_info = gr.Text(label=i18n("输出结果"), value="", interactive=False) button_similarity_audio_output.click(similarity_audio_output, - [text_work_space_dir, text_character, text_base_audio_path, + [text_work_space_dir, text_base_audio_path, text_compare_audio_dir], [text_similarity_audio_output_info]) with gr.Row(): text_sync_ref_audio_dir = gr.Text(label=i18n("参考音频路径"), value="", interactive=False) @@ -320,7 +316,7 @@ with gr.Blocks() as app: with gr.Row(): button_sync_ref_audio = gr.Button(i18n("将参考音频的删除情况，同步到推理音频目录"), variant="primary") text_sync_ref_info = gr.Text(label=i18n("同步结果"), value="", interactive=False) - button_sync_ref_audio.click(sync_ref_audio, [text_work_space_dir, text_character, text_sync_ref_audio_dir, + button_sync_ref_audio.click(sync_ref_audio, [text_work_space_dir, text_sync_ref_audio_dir, text_sync_inference_audio_dir], [text_sync_ref_info]) with gr.Accordion("第四步：生成参考音频配置文本", open=False): gr.Markdown(value=i18n("4.1：编辑模板")) @@ -332,9 +328,9 @@ with gr.Blocks() as app: button_create_config = gr.Button(i18n("生成配置"), variant="primary") text_create_config_info = gr.Text(label=i18n("生成结果"), value="", interactive=False) button_create_config.click(create_config, - [text_work_space_dir, text_character, text_template, text_sync_ref_audio_dir2], + [text_work_space_dir, text_template, text_sync_ref_audio_dir2], [text_create_config_info]) - button_sample.click(sample, [text_work_space_dir, text_character, text_sample_dir, text_base_voice_path, + button_sample.click(sample, [text_work_space_dir, text_sample_dir, text_base_voice_path, text_subsection_num, text_sample_num, checkbox_similarity_output], [text_sample_info, text_model_inference_voice_dir, text_sync_ref_audio_dir, text_sync_ref_audio_dir2]) diff --git a/Ref_Audio_Selector/tool/audio_asr.py b/Ref_Audio_Selector/tool/audio_asr.py index 126d3f9..f637e2c 100644 --- a/Ref_Audio_Selector/tool/audio_asr.py +++ b/Ref_Audio_Selector/tool/audio_asr.py @@ -1,12 +1,14 @@ import os -from config import python_exec,is_half +from config import python_exec, is_half from tools import my_utils from tools.asr.config import asr_dict from subprocess import Popen + + def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang): global p_asr - if(p_asr==None): - asr_inp_dir=my_utils.clean_path(asr_inp_dir) + if (p_asr == None): + asr_inp_dir = my_utils.clean_path(asr_inp_dir) asr_py_path = asr_dict[asr_model]["path"] if asr_py_path == 'funasr_asr.py': asr_py_path = 'funasr_asr_multi_level_dir.py' @@ -17,18 +19,18 @@ def open_asr(asr_inp_dir, asr_opt_dir, asr_model, asr_model_size, asr_lang): cmd += f' -o "{asr_opt_dir}"' cmd += f' -s {asr_model_size}' cmd += f' -l {asr_lang}' - cmd += " -p %s"%("float16"if is_half==True else "float32") + cmd += " -p %s" % ("float16" if is_half == True else "float32") print(cmd) p_asr = Popen(cmd, shell=True) p_asr.wait() - p_asr=None + p_asr = None output_dir_abs = os.path.abspath(asr_opt_dir) output_file_name = os.path.basename(asr_inp_dir) # 构造输出文件路径 output_file_path = os.path.join(output_dir_abs, f'{output_file_name}.list') return output_file_path - + else: - return None \ No newline at end of file + return None diff --git a/Ref_Audio_Selector/tool/audio_inference.py b/Ref_Audio_Selector/tool/audio_inference.py index 2c29122..67aabf3 100644 --- a/Ref_Audio_Selector/tool/audio_inference.py +++ b/Ref_Audio_Selector/tool/audio_inference.py @@ -2,6 +2,7 @@ import os import requests import urllib.parse + class URLComposer: def __init__(self, base_url, emotion_param_name, text_param_name, ref_path_param_name, ref_text_param_name): self.base_url = base_url @@ -9,18 +10,17 @@ class URLComposer: self.text_param_name = text_param_name self.ref_path_param_name = ref_path_param_name self.ref_text_param_name = ref_text_param_name - - + def is_valid(self): if self.base_url is None or self.base_url == '': raise ValueError("请输入url") - + if self.text_param_name is None or self.text_param_name == '': raise ValueError("请输入text参数名") - + if self.emotion_param_name is None and self.ref_path_param_name is None and self.ref_text_param_name is None: raise ValueError("请输入至少一个参考or情绪的参数") - + def is_emotion(self): return self.emotion_param_name is not None and self.emotion_param_name != '' @@ -49,10 +49,9 @@ class URLComposer: query_params = '&'.join([f"{k}={v}" for k, v in params.items()]) url_with_params += '?' + query_params if '?' not in self.base_url else '&' + query_params return url_with_params - - -def generate_audio_files(url_composer, text_list, emotion_list, output_dir_path): + +def generate_audio_files(url_composer, text_list, emotion_list, output_dir_path): # Ensure the output directory exists output_dir = Path(output_dir_path) output_dir.mkdir(parents=True, exist_ok=True) @@ -65,12 +64,12 @@ def generate_audio_files(url_composer, text_list, emotion_list, output_dir_path) for text, emotion in zip(text_list, emotion_list): # Generate audio byte stream using the create_audio function - + if url_composer.is_emotion(): real_url = url_composer.build_url_with_emotion(text, emotion['emotion']) else: real_url = url_composer.build_url_with_ref(text, emotion['ref_path'], emotion['ref_text']) - + audio_bytes = inference_audio_from_api(real_url) emotion_name = emotion['emotion'] @@ -88,11 +87,9 @@ def generate_audio_files(url_composer, text_list, emotion_list, output_dir_path) f.write(audio_bytes) with open(emotion_file_path, 'wb') as f: f.write(audio_bytes) - def inference_audio_from_api(url): - # 发起GET请求 response = requests.get(url, stream=True) @@ -101,4 +98,4 @@ def inference_audio_from_api(url): # 返回音频数据的字节流 return response.content else: - raise Exception(f"Failed to fetch audio from API. Server responded with status code {response.status_code}.") \ No newline at end of file + raise Exception(f"Failed to fetch audio from API. Server responded with status code {response.status_code}.") diff --git a/Ref_Audio_Selector/tool/audio_similarity.py b/Ref_Audio_Selector/tool/audio_similarity.py index 30ae5d1..602f8fc 100644 --- a/Ref_Audio_Selector/tool/audio_similarity.py +++ b/Ref_Audio_Selector/tool/audio_similarity.py @@ -3,6 +3,7 @@ import shutil from config import python_exec from subprocess import Popen + def convert_from_list(list_file, output_dir): # 创建输出目录，如果它不存在的话 if not os.path.exists(output_dir): @@ -61,15 +62,15 @@ def sample(output_audio_dir, similarity_list, subsection_num, sample_num): start = i * step end = (i + 1) * step end = min(end, len(similarity_list)) # 防止最后一段越界 - + num = min(sample_num, len(similarity_list[start:end])) # 随机采样 random.shuffle(similarity_list[start:end]) - sampled_subsection = similarity_list[start:start+num] + sampled_subsection = similarity_list[start:start + num] # 创建并进入子目录 - subdir_name = f'subsection_{i+1}' + subdir_name = f'subsection_{i + 1}' subdir_path = os.path.join(output_audio_dir, subdir_name) os.makedirs(subdir_path, exist_ok=True) @@ -82,9 +83,7 @@ def sample(output_audio_dir, similarity_list, subsection_num, sample_num): print("Sampling completed.") - def start_similarity_analysis(work_space_dir, sample_dir, base_voice_path, need_similarity_output): - similarity_list = None similarity_dir = os.path.join(work_space_dir, 'similarity') @@ -94,7 +93,7 @@ def start_similarity_analysis(work_space_dir, sample_dir, base_voice_path, need_ similarity_file = os.path.join(similarity_dir, f'{base_voice_file_name}.txt') global p_similarity - if(p_similarity==None): + if (p_similarity == None): cmd = f'"{python_exec}" tools/speaker_verification/voice_similarity.py ' cmd += f' -r "{base_voice_path}"' cmd += f' -c "{sample_dir}"' @@ -109,7 +108,7 @@ def start_similarity_analysis(work_space_dir, sample_dir, base_voice_path, need_ similarity_file_dir = os.path.dirname(similarity_dir, base_voice_file_name) ref_audio_opt.copy_and_move(similarity_file_dir, similarity_list) - p_similarity=None + p_similarity = None return similarity_list, similarity_file, similarity_file_dir else: return similarity_list, None, None @@ -145,7 +144,6 @@ def parse_similarity_file(file_path): def copy_and_move(output_audio_directory, similarity_scores): - # 确保新目录存在 if not os.path.exists(output_audio_directory): os.makedirs(output_audio_directory) @@ -178,5 +176,3 @@ def get_filename_without_extension(file_path): base_name = os.path.basename(file_path) # Get the base name (file name with extension) file_name, file_extension = os.path.splitext(base_name) # Split the base name into file name and extension return file_name # Return the file name without extension - - diff --git a/Ref_Audio_Selector/tool/text_comparison/text_comparison.py b/Ref_Audio_Selector/tool/text_comparison/text_comparison.py index dab00b6..420a9ed 100644 --- a/Ref_Audio_Selector/tool/text_comparison/text_comparison.py +++ b/Ref_Audio_Selector/tool/text_comparison/text_comparison.py @@ -1,3 +1,4 @@ +import os import torch from transformers import AutoTokenizer, AutoModel from scipy.spatial.distance import cosine