57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
from pydub import AudioSegment
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import re
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def parse_lrc(lrc_file):
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"""解析LRC文件，返回一个包含时间戳和歌词的列表"""
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with open(lrc_file, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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lrc_data = []
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for line in lines:
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# 使用正则表达式匹配时间戳和歌词
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match = re.match(r'\[(\d+):(\d+\.\d+)\](.*)', line)
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if match:
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minutes = int(match.group(1))
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seconds = float(match.group(2))
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lyric = match.group(3).strip()
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lyric = lyric.replace(" ", "")
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timestamp = minutes * 60 + seconds
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lrc_data.append((timestamp, lyric))
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return lrc_data
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def split_audio_by_lrc(audio_file, lrc_data, output_prefix):
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"""根据LRC数据分割音频文件，并保存为单独的WAV文件"""
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audio = AudioSegment.from_file(audio_file)
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for i, (start_time, lyric) in enumerate(lrc_data):
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# Skip empty line
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if lyric.strip() == "":
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continue
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if i < len(lrc_data) - 1:
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end_time = lrc_data[i + 1][0]
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else:
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end_time = len(audio) / 1000 # 最后一行歌词到音频结束
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start_time = max(0, start_time - 0.1) # 前后各扩0.1秒
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end_time = min(len(audio) / 1000, end_time + 0.1)
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start_time_ms = start_time * 1000
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end_time_ms = end_time * 1000
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segment = audio[start_time_ms:end_time_ms]
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output_file = f"{output_prefix}-{i+1}.wav"
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output_script = f"{output_prefix}-{i+1}.txt"
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output_time = f"{output_prefix}-{i+1}.time"
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segment.export(output_file, format="wav")
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with open(output_script, "w") as f:
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f.write(lyric)
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with open(output_time, "w") as f:
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f.write(str(start_time)+","+str(end_time))
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print(f"Saved {output_file}")
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if __name__ == "__main__":
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lrc_file = "./data/谷雨.lrc" # LRC文件路径
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audio_file = "./data/谷雨.mp3" # 音频文件路径
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output_prefix = "segments/line" # 输出文件名的前缀
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lrc_data = parse_lrc(lrc_file)
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split_audio_by_lrc(audio_file, lrc_data, output_prefix) |