Audio starting point detection method and device

Abstract

The invention discloses an audio starting point detection method and device, electronic equipment and a computer readable storage medium. The audio starting point detection method comprises the stepsthat for each frequency band, determining the mean value of voice frequency spectrum parameters according to the voice frequency spectrum parameters of the current frequency band and the voice frequency spectrum parameters of a preset number of frequency bands selected from remaining frequency bands, wherein the remaining frequency bands are all frequency bands located before the current frequencyband according to the time sequence; and determining one or more starting point positions of notes and syllables in the audio according to the voice frequency spectrum parameters and the mean value corresponding to each frequency band. According to the embodiment of the invention, the voice frequency spectrum parameters corresponding to the plurality of frequency bands are referred to when the starting point position is determined, so the mean value of the determined voice frequency spectrum parameters is more accurate, and the signal offset phenomenon in the curve formed by the reference voice frequency spectrum parameters and the mean value is improved, the initial points of the notes and syllables in the audio can be accurately detected, and the false detection and missing detection situations are reduced.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to an audio start point detection method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] Audio onset detection is an information extraction algorithm applied to audio signals, the goal is to accurately detect the onset position of notes and syllables. A note (note) specifically refers to a music signal; a syllable (phone) specifically refers to a speech human voice signal. Audio starting point detection has many important uses and application prospects in the field of signal processing, such as the following: automatic segmentation and automatic labeling of human voice and music audio, information extraction, segment compression, and interactive entertainment. Figure 1a with Figure 1b represents the starting point detection, where Figure 1a for the audio signal, Figure 1b is the detected starting point po...

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Problems solved by technology

[0004] However, the above algorithm is mainly suitable for audio signals with clear boundaries and relatively single rhythm (such as fast-paced music with clear note boundaries and relatively single rhythm), while for some audio signals with relatively complex rhythms and low sense of rhythm (such as multi-instrument mixed music, Music and vocals with a relatively slow rhythm), the above detection algorithm cannot accurately detect the boundary, and frequent false detections and missed detections will occur

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