+import sounddevice
+import numpy
+import math
+
+class Noise():
+ def __init__(
+ self,
+ sample_rate=16000,
+ duration=0.5):
+
+ self.duration = duration
+ self.sample_rate = sample_rate
+
+ def get_amplitudes_at_frequency_ranges(self, ranges):
+ recording = self._record()
+ magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
+ result = []
+ for r in ranges:
+ start, end = r
+ result.append(numpy.mean(magnitude[start:end]))
+ return result
+
+ def get_amplitude_at_frequency_range(self, start, end):
+ n = self.sample_rate // 2
+ if start > n or end > n:
+ raise ValueError("Maxmimum frequency is {}".format(n))
+
+ recording = self._record()
+ magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
+ return numpy.mean(magnitude[start:end])
+
+ def get_noise_profile(
+ self,
+ noise_floor=100,
+ low=0.12,
+ mid=0.36,
+ high=None):
+
+ if high is None:
+ high = 1.0 - low - mid
+
+ recording = self._record()
+ magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
+
+ sample_count = (self.sample_rate // 2) - noise_floor
+
+ mid_start = noise_floor + int(sample_count * low)
+ high_start = mid_start + int(sample_count * mid)
+ noise_ceiling = high_start + int(sample_count * high)
+
+ amp_low = numpy.mean(magnitude[self.noise_floor:mid_start])
+ amp_mid = numpy.mean(magnitude[mid_start:high_start])
+ amp_high = numpy.mean(magnitude[high_start:noise_ceiling])
+ amp_total = (low + mid + high) / 3.0
+
+ return amp_low, amp_mid, amp_high, amp_total
+
+ def _record(self):
+ return sounddevice.rec(
+ int(self.duration * self.sample_rate),
+ samplerate=self.sample_rate,
+ blocking=True,
+ channels=1,
+ dtype='float64'
+ )
+