labeled_example.py 文件源码

def _power_level_from_power_spectrogram(spectrogram: ndarray) -> ndarray:
        # default value for min_decibel found by experiment (all values except for 0s were above this bound)
        def power_to_decibel(x, min_decibel: float = -150) -> float:
            if x == 0:
                return min_decibel
            l = 10 * math.log10(x)
            return min_decibel if l < min_decibel else l

        return vectorize(power_to_decibel)(spectrogram)