Chord recognition model training method and device and chord recognition method and device
A technology for identifying models and training methods, applied in the field of audio and video, can solve the problem of low accuracy of chord identification, and achieve the effect of improving accuracy
Pending Publication Date: 2022-04-29
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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In the related art, some websites provide some manually annotated scores for downloading, however, the chords in these scores need to be identified and annotated manually, and the accuracy of chord recognition is low
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[0055] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.
[0056] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following examples do not represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspect...
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The invention relates to a chord recognition model training method and device and a chord recognition method and device. The chord identification method comprises the following steps: acquiring an unmanned audio and a drumless audio corresponding to the audio; performing feature extraction on the audio, the unmanned audio and the drum-free audio to obtain an audio feature, an unmanned audio feature and a drum-free audio feature; the audio features are input into a first sub-model in a chord recognition model, the unmanned audio features are input into a second sub-model in the chord recognition model, and the drum-free audio features are input into a third sub-model in the chord recognition model; respectively obtaining a first chord type, a second chord type and a third chord type of the audio; and determining the chord type of the audio based on the first chord type, the second chord type and the third chord type of the audio. According to the chord identification method and device disclosed by the invention, the chord identification accuracy can be improved.
Description
technical field [0001] The present disclosure relates to the technical field of audio and video. More specifically, the present disclosure relates to a training method and device for a chord recognition model, and a chord recognition method and device. Background technique [0002] Automatic chord recognition (ACR) is an important research topic in the field of music information retrieval. Chords are the basis of music formation, which can directly affect the aesthetics of a piece of music, determine the emotion and color of music, and enrich the content of music. Common chord types include triads: major triad (maj), minor triad (min), diminished triad (dim), augmented triad (aug), seventh chord: major seventh (maj7), dominant seventh (7 ), minor seventh chord (m7), minor major seventh chord (mM7), diminished seventh chord (dim7), augmented seventh chord (aug7), half diminished seventh chord (half-dim7), and additional chords (add), extended chords (extend), suspension ch...
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IPC IPC(8): G10H1/38G10H1/00G10L15/02G10L15/06G10L15/08G10L15/24G10L25/54
CPCG10H1/383G10H1/0008G10L15/02G10L15/063G10L15/08G10L15/24G10L25/54G10L2015/0631
Inventor范欣悦郑羲光张晨
OwnerBEIJING DAJIA INTERNET INFORMATION TECH CO LTD