Sound signal frequency spectrum display method, device and system and storage medium

Abstract

The invention discloses a sound signal frequency spectrum display method. A sound source signal is acquired; performing frequency spectrum transformation on the sound source signal to obtain frequency spectrum data; dividing the spectrum data into sub-bands according to the scale of the BARK spectrum by adopting an auditory masking effect model, and respectively calculating energy in each sub-band; performing noise filtering based on the energy of each sub-band to obtain filtered spectrum data; and displaying the filtered spectrum data. According to the method, the BARK spectrum is adopted to replace a rectangular sub-band based on the auditory masking effect, sub-band division is carried out on the spectrum data, the psychological acoustic characteristics of human ears are met, noise between adjacent frequency bands can be filtered out, critical frequency bands are displayed more clearly, and the visual impression brought by spectrum display is more consistent with the auditory sense of the human ears. In addition, the invention also provides a sound signal frequency spectrum display device and system with the above technical effects, and a computer readable storage medium.

Description

technical field [0001] The present application relates to the technical field of signal processing, and in particular to a method, device, system, and computer-readable storage medium for displaying a frequency spectrum of an audio signal. Background technique [0002] With the development of technology, sound spectrum visualization is increasingly appearing in people's lives, including but not limited to toys and smart home devices, such as stereos, microphones, car ambient lights, community noise displays, music spectrum lights, rhythm Colorful lights, music pulsating light strips, music atmosphere lights, etc. [0003] In the existing sound spectrum visualization technology, the sound source signal is generally processed by Fast Fourier Transform (FFT) to obtain spectrum data, which is then divided into multiple rectangular sub-bands and the energy of each sub-band is calculated for visual display. However, for toys and smart home devices, due to cost constraints, proces...

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