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https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-07-20 13:47:15 +08:00
fix: correct sample rate when convert to silk
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@@ -3,6 +3,22 @@ import wave
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import pysilk
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import pysilk
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from pydub import AudioSegment
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from pydub import AudioSegment
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sil_supports=[8000, 12000, 16000, 24000, 32000, 44100, 48000] # slk转wav时,支持的采样率
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def find_closest_sil_supports(sample_rate):
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"""
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找到最接近的支持的采样率
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"""
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if sample_rate in sil_supports:
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return sample_rate
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closest = 0
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mindiff = 9999999
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for rate in sil_supports:
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diff = abs(rate - sample_rate)
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if diff < mindiff:
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closest = sample_rate
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mindiff = diff
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return closest
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def get_pcm_from_wav(wav_path):
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def get_pcm_from_wav(wav_path):
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"""
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"""
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从 wav 文件中读取 pcm
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从 wav 文件中读取 pcm
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@@ -53,7 +69,7 @@ def pcm_to_sil(pcm_path, silk_path):
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audio = AudioSegment.from_wav(pcm_path)
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audio = AudioSegment.from_wav(pcm_path)
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wav_data = audio.raw_data
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wav_data = audio.raw_data
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silk_data = pysilk.encode(
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silk_data = pysilk.encode(
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wav_data, data_rate=audio.frame_rate, sample_rate=audio.frame_rate)
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wav_data, data_rate=audio.frame_rate, sample_rate=find_closest_sil_supports(audio.frame_rate))
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with open(silk_path, "wb") as f:
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with open(silk_path, "wb") as f:
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f.write(silk_data)
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f.write(silk_data)
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return audio.duration_seconds * 1000
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return audio.duration_seconds * 1000
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@@ -66,8 +82,7 @@ def mp3_to_sil(mp3_path, silk_path):
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"""
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"""
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audio = AudioSegment.from_mp3(mp3_path)
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audio = AudioSegment.from_mp3(mp3_path)
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wav_data = audio.raw_data
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wav_data = audio.raw_data
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silk_data = pysilk.encode(
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silk_data = pysilk.encode(wav_data, data_rate=audio.frame_rate, sample_rate=find_closest_sil_supports(audio.frame_rate))
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wav_data, data_rate=audio.frame_rate, sample_rate=audio.frame_rate)
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# Save the silk file
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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(silk_path, "wb") as f:
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f.write(silk_data)
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f.write(silk_data)
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