57e869d89ef91b66315bbc55d0d6d9b56e82f8c5
[EVA-2020-02-2.git] / library / enviroplus / noise.py
1 import sounddevice
2 import numpy
3 import math
4
5 class Noise():
6 def __init__(
7 self,
8 sample_rate=16000,
9 duration=0.5):
10
11 self.duration = duration
12 self.sample_rate = sample_rate
13
14 def get_amplitudes_at_frequency_ranges(self, ranges):
15 recording = self._record()
16 magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
17 result = []
18 for r in ranges:
19 start, end = r
20 result.append(numpy.mean(magnitude[start:end]))
21 return result
22
23 def get_amplitude_at_frequency_range(self, start, end):
24 n = self.sample_rate // 2
25 if start > n or end > n:
26 raise ValueError("Maxmimum frequency is {}".format(n))
27
28 recording = self._record()
29 magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
30 return numpy.mean(magnitude[start:end])
31
32 def get_noise_profile(
33 self,
34 noise_floor=100,
35 low=0.12,
36 mid=0.36,
37 high=None):
38
39 if high is None:
40 high = 1.0 - low - mid
41
42 recording = self._record()
43 magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
44
45 sample_count = (self.sample_rate // 2) - noise_floor
46
47 mid_start = noise_floor + int(sample_count * low)
48 high_start = mid_start + int(sample_count * mid)
49 noise_ceiling = high_start + int(sample_count * high)
50
51 amp_low = numpy.mean(magnitude[self.noise_floor:mid_start])
52 amp_mid = numpy.mean(magnitude[mid_start:high_start])
53 amp_high = numpy.mean(magnitude[high_start:noise_ceiling])
54 amp_total = (low + mid + high) / 3.0
55
56 return amp_low, amp_mid, amp_high, amp_total
57
58 def _record(self):
59 return sounddevice.rec(
60 int(self.duration * self.sample_rate),
61 samplerate=self.sample_rate,
62 blocking=True,
63 channels=1,
64 dtype='float64'
65 )
66