library/enviroplus/noise.py

   1 import sounddevice
   2 import numpy
   3
   4
   5 class Noise():
   6     def __init__(self,
   7                  sample_rate=16000,
   8                  duration=0.5):
   9         """Noise measurement.
  10
  11         :param sample_rate: Sample rate in Hz
  12         :param duraton: Duration, in seconds, of noise sample capture
  13
  14         """
  15
  16         self.duration = duration
  17         self.sample_rate = sample_rate
  18
  19     def get_amplitudes_at_frequency_ranges(self, ranges):
  20         """Return the mean amplitude of frequencies in the given ranges.
  21
  22         :param ranges: List of ranges including a start and end range
  23
  24         """
  25         recording = self._record()
  26         magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
  27         result = []
  28         for r in ranges:
  29             start, end = r
  30             result.append(numpy.mean(magnitude[start:end]))
  31         return result
  32
  33     def get_amplitude_at_frequency_range(self, start, end):
  34         """Return the mean amplitude of frequencies in the specified range.
  35
  36         :param start: Start frequency (in Hz)
  37         :param end: End frequency (in Hz)
  38
  39         """
  40         n = self.sample_rate // 2
  41         if start > n or end > n:
  42             raise ValueError("Maxmimum frequency is {}".format(n))
  43
  44         recording = self._record()
  45         magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
  46         return numpy.mean(magnitude[start:end])
  47
  48     def get_noise_profile(self,
  49                           noise_floor=100,
  50                           low=0.12,
  51                           mid=0.36,
  52                           high=None):
  53         """Returns a noise charateristic profile.
  54
  55         Bins all frequencies into 3 weighted groups expressed as a percentage of the total frequency range.
  56
  57         :param noise_floor: "High-pass" frequency, exclude frequencies below this value
  58         :param low: Percentage of frequency ranges to count in the low bin (as a float, 0.5 = 50%)
  59         :param mid: Percentage of frequency ranges to count in the mid bin (as a float, 0.5 = 50%)
  60         :param high: Optional percentage for high bin, effectively creates a "Low-pass" if total percentage is less than 100%
  61
  62         """
  63
  64         if high is None:
  65             high = 1.0 - low - mid
  66
  67         recording = self._record()
  68         magnitude = numpy.abs(numpy.fft.rfft(recording[:, 0], n=self.sample_rate))
  69
  70         sample_count = (self.sample_rate // 2) - noise_floor
  71
  72         mid_start = noise_floor + int(sample_count * low)
  73         high_start = mid_start + int(sample_count * mid)
  74         noise_ceiling = high_start + int(sample_count * high)
  75
  76         amp_low = numpy.mean(magnitude[noise_floor:mid_start])
  77         amp_mid = numpy.mean(magnitude[mid_start:high_start])
  78         amp_high = numpy.mean(magnitude[high_start:noise_ceiling])
  79         amp_total = (low + mid + high) / 3.0
  80
  81         return amp_low, amp_mid, amp_high, amp_total
  82
  83     def _record(self):
  84         return sounddevice.rec(
  85             int(self.duration * self.sample_rate),
  86             samplerate=self.sample_rate,
  87             blocking=True,
  88             channels=1,
  89             dtype='float64'
  90         )