JhonSakib's picture
Duplicate from qingxu98/gpt-academic
c0cf63b
raw
history blame
1.48 kB
import numpy as np
from scipy import interpolate
def Singleton(cls):
_instance = {}
def _singleton(*args, **kargs):
if cls not in _instance:
_instance[cls] = cls(*args, **kargs)
return _instance[cls]
return _singleton
@Singleton
class RealtimeAudioDistribution():
def __init__(self) -> None:
self.data = {}
self.max_len = 1024*1024
self.rate = 48000 # 只读,每秒采样数量
def clean_up(self):
self.data = {}
def feed(self, uuid, audio):
self.rate, audio_ = audio
# print('feed', len(audio_), audio_[-25:])
if uuid not in self.data:
self.data[uuid] = audio_
else:
new_arr = np.concatenate((self.data[uuid], audio_))
if len(new_arr) > self.max_len: new_arr = new_arr[-self.max_len:]
self.data[uuid] = new_arr
def read(self, uuid):
if uuid in self.data:
res = self.data.pop(uuid)
print('\r read-', len(res), '-', max(res), end='', flush=True)
else:
res = None
return res
def change_sample_rate(audio, old_sr, new_sr):
duration = audio.shape[0] / old_sr
time_old = np.linspace(0, duration, audio.shape[0])
time_new = np.linspace(0, duration, int(audio.shape[0] * new_sr / old_sr))
interpolator = interpolate.interp1d(time_old, audio.T)
new_audio = interpolator(time_new).T
return new_audio.astype(np.int16)