Delete dsp.py

python/dsp.py

@@ -1,53 +0,0 @@
-from __future__ import print_function
-import numpy as np
-import config
-import melbank
-
-
-class ExpFilter:
-    """Simple exponential smoothing filter"""
-    def __init__(self, val=0.0, alpha_decay=0.5, alpha_rise=0.5):
-        """Small rise / decay factors = more smoothing"""
-        assert 0.0 < alpha_decay < 1.0, 'Invalid decay smoothing factor'
-        assert 0.0 < alpha_rise < 1.0, 'Invalid rise smoothing factor'
-        self.alpha_decay = alpha_decay
-        self.alpha_rise = alpha_rise
-        self.value = val
-
-    def update(self, value):
-        if isinstance(self.value, (list, np.ndarray, tuple)):
-            alpha = value - self.value
-            alpha[alpha > 0.0] = self.alpha_rise
-            alpha[alpha <= 0.0] = self.alpha_decay
-        else:
-            alpha = self.alpha_rise if value > self.value else self.alpha_decay
-        self.value = alpha * value + (1.0 - alpha) * self.value
-        return self.value
-
-
-def rfft(data, window=None):
-    window = 1.0 if window is None else window(len(data))
-    ys = np.abs(np.fft.rfft(data * window))
-    xs = np.fft.rfftfreq(len(data), 1.0 / config.MIC_RATE)
-    return xs, ys
-
-
-def fft(data, window=None):
-    window = 1.0 if window is None else window(len(data))
-    ys = np.fft.fft(data * window)
-    xs = np.fft.fftfreq(len(data), 1.0 / config.MIC_RATE)
-    return xs, ys
-
-
-def create_mel_bank():
-    global samples, mel_y, mel_x
-    samples = int(config.MIC_RATE * config.N_ROLLING_HISTORY / (2.0 * config.FPS))
-    mel_y, (_, mel_x) = melbank.compute_melmat(num_mel_bands=config.N_FFT_BINS,
-                                               freq_min=config.MIN_FREQUENCY,
-                                               freq_max=config.MAX_FREQUENCY,
-                                               num_fft_bands=samples,
-                                               sample_rate=config.MIC_RATE)
-samples = None
-mel_y = None
-mel_x = None
-create_mel_bank()