2017-10-30 15:01:26 +00:00
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# Python 3
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2017-11-22 19:03:42 +00:00
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# Copyright (c) 2017 Mycroft AI Inc.
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2017-10-30 15:01:26 +00:00
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from collections import namedtuple
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from math import floor
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2017-11-21 22:30:22 +00:00
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def _make_cls() -> type:
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2017-10-30 15:01:26 +00:00
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cls = namedtuple('ListenerParams', 'window_t hop_t buffer_t sample_rate sample_depth n_mfcc n_filt n_fft')
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def add_prop(name, fn):
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setattr(cls, name, property(fn))
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import numpy as np
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add_prop('buffer_samples', lambda s: s.hop_samples * (int(np.round(s.sample_rate * s.buffer_t)) // s.hop_samples))
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add_prop('window_samples', lambda s: int(np.round(s.sample_rate * s.window_t)))
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add_prop('hop_samples', lambda s: int(np.round(s.sample_rate * s.hop_t)))
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add_prop('n_features', lambda s: 1 + int(floor((s.buffer_samples - s.window_samples) / s.hop_samples)))
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add_prop('feature_size', lambda s: s.n_mfcc)
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add_prop('max_samples', lambda s: int(s.buffer_t * s.sample_rate))
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return cls
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ListenerParams = _make_cls()
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