ToneToNoiseRatio

class ansys.sound.core.psychoacoustics.ToneToNoiseRatio(psd=None, frequency_list=None)

Computes the ECMA 418-1/ISO 7779 tone-to-noise ratio (TNR).

This class computes the TNR on a power spectral density (PSD) following the ECMA 418-1 and ISO 7779 standards.

Methods

ToneToNoiseRatio.convert_fields_container_to_np_array(fc)	Convert a DPF fields container to a NumPy array.
ToneToNoiseRatio.get_TNR_values()	Get the vector of the peaks' TNR values in dB.
ToneToNoiseRatio.get_max_TNR_value()	Get the maximum TNR value in dB.
ToneToNoiseRatio.get_nb_tones()	Get the number of tones.
ToneToNoiseRatio.get_output()	Get TNR data as a generic data container.
ToneToNoiseRatio.get_output_as_nparray()	Get TNR data in a tuple as a NumPy array.
ToneToNoiseRatio.get_peaks_frequencies()	Get the vector of the peaks' frequencies in Hz.
ToneToNoiseRatio.get_peaks_high_frequencies()	Get the vector of the peaks' higher-frequency limits in Hz.
ToneToNoiseRatio.get_peaks_levels()	Get the vector of the peaks' level values in dB SPL.
ToneToNoiseRatio.get_peaks_low_frequencies()	Get the vector of the peaks' lower-frequency limits in Hz.
ToneToNoiseRatio.get_reference_curve()	Get a reference curve to compare the TNR with.
ToneToNoiseRatio.get_single_tone_info(tone_index)	Get the TNR information for a tone.
ToneToNoiseRatio.plot()	Plot the TNR for all identified peaks, along with the reference curve.
ToneToNoiseRatio.process()	Compute the TNR.

Attributes

ToneToNoiseRatio.frequency_list	Get a list of the frequencies in Hz of the tones to calculate TNR for.
ToneToNoiseRatio.psd	Power spectral density.