maad.rois.spectrogram_local_max

maad.rois.spectrogram_local_max(Sxx, tn, fn, ext, min_distance, threshold_abs, display=False, **kwargs)

Find peaks on spectrogram as coordinate list in time and frequency

Parameters:

Sxxndarray

Spectrogram of audio signal.

tn1d array

Time vector of target audio, which results from the maad.sound.spectrogram function.

fn1d array

Frecuency vector of target audio, which results from the maad.sound.spectrogram function.

extlist of scalars [left, right, bottom, top]

Extent keyword arguments controls the bounding box in data coordinates for the spectrogram of the target audio, which results from the maad.sound.spectrogram function.

min_distanceint

Minimum number of time-frequency coefficients (or pixels) separating peaks. This parameter controls how close peaks can be to each other. Peaks that are closer than min_distance will be merged into a single peak.

threshold_absfloat

Minimum amplitude threshold for peak detection. Must be above Sxx.min().

displaybool, optional

Option to display the resulting figure.

Returns:

peak_time: numpy.array

The temporal coordinates of local peaks (maxima) in a spectrogram.

peak_frequency: numpy.array

The spectral coordinates of local peaks (maxima) in a spectrogram.

Examples

>>> from maad import sound, rois, util
>>> s, fs = sound.load('../data/spinetail.wav')
>>> Sxx, tn ,fn ,ext = sound.spectrogram (s, fs, nperseg=512, noverlap=256)
>>> Sxx_db = util.power2dB(Sxx, db_range=80)
>>> peak_time, peak_freq = rois.spectrogram_local_max(Sxx_db, tn, fn, ext, min_distance=1, threshold_abs=-40, display=True)