Abstract: The present disclosure provides a method and an apparatus for simulating the sound characteristics of the audio processor, a terminal device and a storage medium. The method simulates the sound characteristic of a target audio processor by constructing a nonlinear model. The nonlinear model consists of a pre-filter, a saturation characteristic curve, and a post-filter. A high-level signal is sent to the target sound processor, and the target sound processor correspondingly sends out the first output signal, and then the first output signal is filtered and performed spectrum analysis to acquire the frequency response of the post-filter; And a low-level signal is sent to the target sound processor, and the target sound processor correspondingly sends out the second output signal, and then the second output signal is filtered and performed spectrum analysis to obtain a frequency response product of the pre-filter and the post-filter.

Abstract: The disclosure discloses a timbre fitting method and system based on time-varying multi-segment spectrum, the system includes an input device for obtaining audio signals of musical instruments and a segmented multi-model compensation module. The segmented multi-model compensation module learns a timbre of a source musical instrument and a target musical instrument, and establishes a multi-segment model of the sound feature of the source musical instrument and a multi-segment model of the sound feature of the target musical instrument. The sound feature is set to be based on maximum amplitude of the audio signal played the same sequence on the target musical instrument and the source musical instrument, and the audio signal of the sequence is divided into multiple segments according to the amplitude. The sound feature includes frequency spectrums of notes respectively within each amplitude range. The segmented multi-model compensation module establishes a multi-model structure with time-varying gain.

Abstract: The disclosure discloses a timbre fitting method and system based on time-varying multi-segment spectrum, the system includes an input device for obtaining audio signals of musical instruments and a segmented multi-model compensation module. The segmented multi-model compensation module learns a timbre of a source musical instrument and a target musical instrument, and establishes a multi-segment model of the sound feature of the source musical instrument and a multi-segment model of the sound feature of the target musical instrument. The sound feature is set to be based on maximum amplitude of the audio signal played the same sequence on the target musical instrument and the source musical instrument, and the audio signal of the sequence is divided into multiple segments according to the amplitude. The sound feature includes frequency spectrums of notes respectively within each amplitude range. The segmented multi-model compensation module establishes a multi-model structure with time-varying gain.