Update README.md

README.md

@@ -6,120 +6,4 @@ configs:
     path: 
     - "*.wav"
     - "metadata.csv"
----
-
-
-<!--
-
-
-from pydub import AudioSegment
-import os
-import re
-from datetime import timedelta
-
-def process_audio_with_srt(wav_path, srt_path, output_folder, max_duration_sec=10):
-    """
-    根据SRT字幕分割WAV音频文件，并合并相邻片段
-    参数:
-        wav_path: 输入WAV文件路径
-        srt_path: 输入SRT字幕文件路径
-        output_folder: 输出文件夹路径
-        max_duration_sec: 最大合并时长(秒)
-    返回:
-        无，直接生成分割后的WAV和TXT文件
-    """
-    # 创建输出文件夹
-    os.makedirs(output_folder, exist_ok=True)
-    
-    # 解析SRT文件
-    def parse_srt(srt_content):
-        pattern = r'(\d+)\n(\d{2}:\d{2}:\d{2},\d{3}) --> (\d{2}:\d{2}:\d{2},\d{3})\n([\s\S]*?)\n\n'
-        matches = re.findall(pattern, srt_content + '\n\n')
-        segments = []
-        for match in matches:
-            idx, start, end, text = match
-            # 清理文本中的多余空格和换行
-            text = ' '.join(text.strip().splitlines())
-            segments.append({
-                'index': int(idx),
-                'start': start.replace(',', '.'),
-                'end': end.replace(',', '.'),
-                'text': text
-            })
-        return segments
-
-    # 时间字符串转毫秒
-    def time_str_to_ms(time_str):
-        h, m, s = time_str.split(':')
-        s, ms = s.split('.')
-        return int(timedelta(
-            hours=int(h),
-            minutes=int(m),
-            seconds=int(s),
-            milliseconds=int(ms)
-        ).total_seconds() * 1000)
-
-    # 读取并解析SRT文件
-    with open(srt_path, 'r', encoding='utf-8') as f:
-        srt_content = f.read()
-    segments = parse_srt(srt_content)
-
-    # 加载音频文件
-    audio = AudioSegment.from_wav(wav_path)
-
-    # 分割并合并相邻片段
-    merged_segments = []
-    current_group = []
-    current_duration = 0
-
-    for seg in segments:
-        start_ms = time_str_to_ms(seg['start'])
-        end_ms = time_str_to_ms(seg['end'])
-        duration_ms = end_ms - start_ms
-        
-        # 检查是否需要新建合并组
-        if current_duration + duration_ms > max_duration_sec * 1000 and current_group:
-            merged_segments.append(current_group)
-            current_group = [seg]
-            current_duration = duration_ms
-        else:
-            current_group.append(seg)
-            current_duration += duration_ms
-    
-    if current_group:
-        merged_segments.append(current_group)
-
-    # 生成输出文件
-    for i, group in enumerate(merged_segments):
-        # 计算合并片段的起止时间
-        start_ms = time_str_to_ms(group[0]['start'])
-        end_ms = time_str_to_ms(group[-1]['end'])
-        
-        # 提取音频片段
-        segment_audio = audio[start_ms:end_ms]
-        
-        # 合并文本
-        merged_text = '\n'.join([seg['text'] for seg in group])
-        
-        # 生成文件名（按字典序）
-        filename = f"segment_{i:04d}"
-        wav_output = os.path.join(output_folder, f"{filename}.wav")
-        txt_output = os.path.join(output_folder, f"{filename}.txt")
-        
-        # 保存文件
-        segment_audio.export(wav_output, format="wav")
-        with open(txt_output, 'w', encoding='utf-8') as f:
-            f.write(merged_text)
-    
-    print(f"处理完成! 共生成 {len(merged_segments)} 个合并片段")
-
-# 使用示例
-process_audio_with_srt(
-    wav_path="Wang_Leehom_Music_Class_Wav/[P01]1-1呼吸与声音的健康.wav",
-    srt_path="Wang_Leehom_Music_Class_Wav/[P01]1-1呼吸与声音的健康.srt",
-    output_folder="output_segments",
-    max_duration_sec=15  # 合并最长15秒的相邻片段
-)
-
-
--->
+---