镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-08 15:36:48 +00:00
qw
这个提交包含在:
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import numpy as np
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from scipy import interpolate
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def Singleton(cls):
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_instance = {}
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def _singleton(*args, **kargs):
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if cls not in _instance:
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_instance[cls] = cls(*args, **kargs)
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return _instance[cls]
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return _singleton
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@Singleton
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class RealtimeAudioDistribution():
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def __init__(self) -> None:
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self.data = {}
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self.max_len = 1024*1024
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self.rate = 48000 # 只读,每秒采样数量
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def clean_up(self):
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self.data = {}
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def feed(self, uuid, audio):
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self.rate, audio_ = audio
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# print('feed', len(audio_), audio_[-25:])
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if uuid not in self.data:
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self.data[uuid] = audio_
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else:
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new_arr = np.concatenate((self.data[uuid], audio_))
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if len(new_arr) > self.max_len: new_arr = new_arr[-self.max_len:]
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self.data[uuid] = new_arr
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def read(self, uuid):
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if uuid in self.data:
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res = self.data.pop(uuid)
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print('\r read-', len(res), '-', max(res), end='', flush=True)
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else:
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res = None
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return res
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def change_sample_rate(audio, old_sr, new_sr):
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duration = audio.shape[0] / old_sr
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time_old = np.linspace(0, duration, audio.shape[0])
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time_new = np.linspace(0, duration, int(audio.shape[0] * new_sr / old_sr))
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interpolator = interpolate.interp1d(time_old, audio.T)
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new_audio = interpolator(time_new).T
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return new_audio.astype(np.int16)
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