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https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-02-25 17:07:46 +08:00
refactor(audio_convert.py): remove redundant functions
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@@ -62,52 +62,14 @@ def any_to_sil(any_path, sil_path):
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):
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shutil.copy2(any_path, sil_path)
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return 10000
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if any_path.endswith(".wav"):
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return pcm_to_sil(any_path, sil_path)
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if any_path.endswith(".mp3"):
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return mp3_to_sil(any_path, sil_path)
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raise NotImplementedError("Not support file type: {}".format(any_path))
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def mp3_to_wav(mp3_path, wav_path):
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"""
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把mp3格式转成pcm文件
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"""
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audio = AudioSegment.from_mp3(mp3_path)
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audio.export(wav_path, format="wav")
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def pcm_to_sil(pcm_path, silk_path):
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"""
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wav 文件转成 silk
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return 声音长度,毫秒
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"""
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audio = AudioSegment.from_wav(pcm_path)
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audio = AudioSegment.from_file(any_path)
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rate = find_closest_sil_supports(audio.frame_rate)
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# Convert to PCM_s16
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pcm_s16 = audio.set_sample_width(2)
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pcm_s16 = pcm_s16.set_frame_rate(rate)
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wav_data = pcm_s16.raw_data
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silk_data = pysilk.encode(wav_data, data_rate=rate, sample_rate=rate)
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with open(silk_path, "wb") as f:
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f.write(silk_data)
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return audio.duration_seconds * 1000
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def mp3_to_sil(mp3_path, silk_path):
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"""
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mp3 文件转成 silk
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return 声音长度,毫秒
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"""
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audio = AudioSegment.from_mp3(mp3_path)
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rate = find_closest_sil_supports(audio.frame_rate)
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# Convert to PCM_s16
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pcm_s16 = audio.set_sample_width(2)
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pcm_s16 = pcm_s16.set_frame_rate(rate)
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wav_data = pcm_s16.raw_data
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silk_data = pysilk.encode(wav_data, data_rate=rate, sample_rate=rate)
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# Save the silk file
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with open(silk_path, "wb") as f:
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with open(sil_path, "wb") as f:
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f.write(silk_data)
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return audio.duration_seconds * 1000
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