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https://github.com/HiMeditator/auto-caption.git
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3792eb88b6
- 更新 GummyTranslator 类，优化字幕生成逻辑 - 移除 audioprcs 模块，音频处理功能转移到 utils 模块 - 重构 sysaudio 模块，提高音频流管理的灵活性和稳定性 - 修改 TODO.md，完成按时间降序排列字幕记录的功能 - 更新文档，说明因资源限制将不再维护英文和日文文档
71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
import samplerate
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import numpy as np
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def merge_chunk_channels(chunk: bytes, channels: int) -> bytes:
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"""
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将当前多通道音频数据块转换为单通道音频数据块
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Args:
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chunk: 多通道音频数据块
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channels: 通道数
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Returns:
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单通道音频数据块
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"""
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# (length * channels,)
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chunk_np = np.frombuffer(chunk, dtype=np.int16)
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# (length, channels)
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chunk_np = chunk_np.reshape(-1, channels)
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# (length,)
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chunk_mono_f = np.mean(chunk_np.astype(np.float32), axis=1)
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chunk_mono = np.round(chunk_mono_f).astype(np.int16)
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return chunk_mono.tobytes()
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def resample_chunk_mono(chunk: bytes, channels: int, orig_sr: int, target_sr: int, mode="sinc_best") -> bytes:
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"""
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将当前多通道音频数据块转换成单通道音频数据块，然后进行重采样
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Args:
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chunk: 多通道音频数据块
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channels: 通道数
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orig_sr: 原始采样率
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target_sr: 目标采样率
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mode: 重采样模式，可选：'sinc_best' | 'sinc_medium' | 'sinc_fastest' | 'zero_order_hold' | 'linear'
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Return:
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单通道音频数据块
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"""
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# (length * channels,)
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chunk_np = np.frombuffer(chunk, dtype=np.int16)
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# (length, channels)
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chunk_np = chunk_np.reshape(-1, channels)
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# (length,)
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chunk_mono_f = np.mean(chunk_np.astype(np.float32), axis=1)
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chunk_mono = chunk_mono_f.astype(np.int16)
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ratio = target_sr / orig_sr
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chunk_mono_r = samplerate.resample(chunk_mono, ratio, converter_type=mode)
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chunk_mono_r = np.round(chunk_mono_r).astype(np.int16)
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return chunk_mono_r.tobytes()
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def resample_mono_chunk(chunk: bytes, orig_sr: int, target_sr: int, mode="sinc_best") -> bytes:
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"""
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将当前单通道音频块进行重采样
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Args:
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chunk: 单通道音频数据块
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orig_sr: 原始采样率
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target_sr: 目标采样率
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mode: 重采样模式，可选：'sinc_best' | 'sinc_medium' | 'sinc_fastest' | 'zero_order_hold' | 'linear'
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Return:
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单通道音频数据块
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"""
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chunk_np = np.frombuffer(chunk, dtype=np.int16)
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ratio = target_sr / orig_sr
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chunk_r = samplerate.resample(chunk_np, ratio, converter_type=mode)
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chunk_r = np.round(chunk_r).astype(np.int16)
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return chunk_r.tobytes()
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