Audio signal processing method, computer device and computer program product

Abstract

The invention relates to an audio signal processing method, computer equipment and a computer program product. The method comprises the following steps: acquiring a plurality of wave crest points in a time domain sampling sequence of an audio signal, and determining a current to-be-analyzed wave crest point in the plurality of wave crest points; determining a plurality of candidate wave crest points associated with the current to-be-analyzed wave crest point; obtaining a periodic point probability of each candidate wave crest point, and determining a target wave crest point of which the periodic point probability meets a preset probability condition from the plurality of candidate wave crest points; taking the target wave crest point as a current to-be-analyzed wave crest point, and returning to execute the step of determining a plurality of candidate wave crest points corresponding to the current to-be-analyzed wave crest point until the wave crest points in the time domain sampling sequence are traversed to obtain at least one determined target wave crest point; the fundamental frequency period of the audio signal is determined based on the interval between the at least one target wave crest point, accurate identification of the period point is realized, and the fundamental frequency period of the audio signal can be determined efficiently and accurately.

Description

technical field [0001] The present application relates to the field of audio technology, and in particular, to an audio signal processing method, computer equipment and computer program product. Background technique [0002] With the development of multimedia technology, people's leisure life is becoming more and more colorful, and the demand for audio materials also shows a trend of diversification and high quality. The audio pitch shifting technique may specifically refer to adjusting the pitch of a specified audio. [0003] In the related art, the audio frequency can be transposed by a neural network vocoder, or the transposition can be achieved by a combination of variable speed and resampling, but these transposition methods are often difficult to efficiently and accurately determine the fundamental frequency period of the audio signal. , which obviously affects the final transposition effect of the audio. SUMMARY OF THE INVENTION [0004] Based on this, it is neces...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, the audio can be modulated by a neural network vocoder, or can be achieved through a combination of variable speed and resampling, but these modulation methods are often difficult to efficiently and accurately determine the fundamental frequency period of the audio signal , which obviously affects the final tone shifting effect of the audio

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