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A Chord Recognition Method Combining SVM and Enhanced PCP Features

A recognition method and enhanced technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of long running time and limited number of songs, and achieve the effect of improving the chord recognition rate

Active Publication Date: 2017-01-04
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this method has no independence requirements for the observation sequence and has the ability to express long-distance dependence and overlapping features, the disadvantage is that the running time is too long, so it needs to be improved in terms of practicability
The neural network method can be used to identify chords by simulating the human brain, effectively avoiding the impact of noise on the chord recognition rate, but the number of songs that can be recognized by this method is very limited

Method used

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  • A Chord Recognition Method Combining SVM and Enhanced PCP Features
  • A Chord Recognition Method Combining SVM and Enhanced PCP Features
  • A Chord Recognition Method Combining SVM and Enhanced PCP Features

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Embodiment Construction

[0034] The present invention will be further described in detail below in combination with specific embodiments.

[0035] Such as figure 1 Shown, a kind of chord recognition method of the present invention combines SVM and enhanced PCP feature, comprises the following steps: audio input and carry out beat tracking, extract enhanced pitch profile feature PCP, input pitch profile feature and label file to support The vector machine SVM completes the learning and training of the SVM, and classifies and outputs the label file to complete the recognition of the chord type.

[0036] The specific implementation steps are as follows:

[0037] Step 1. Audio input and beat tracking:

[0038]Obtain the audio beat time point information consistent with the beat composition through beat tracking, and obtain the signal energy feature E, which is the basis for computer music automatic accompaniment and transcription, computer-aided audio editing, and music similarity applications. Synchron...

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Abstract

The invention discloses a chord recognition method combining an SVM with an enhanced PCP. The chord recognition method includes the steps of carrying out audio input and rhythm tracking, extracting the enhanced PCP, training a classification parameter of the SVM, converting two kinds of chord classification to multiple kinds of chord classification and recognizing a chord type. Chord recognition is the basis of automatic music marking and plays an important role in song cover recognition, music division, audio matching and other fields. An algorithm combining PFCC and the enhanced PCP is adopted and the enhanced PCP serves as a new chord recognition feature to solve the problem that the recognition rate of same chords between different musical instruments is low. As is shown in an experiment result, the chord recognition rate of the enhanced PCP is improved by 2.5%-6.7% than that of a traditional PCP.

Description

technical field [0001] The present invention is an important aspect in the field of music information content retrieval. It plays an important role in computer music automatic accompaniment, song cover retrieval, and audio segmentation and matching. Background technique [0002] With the increase of various music information storage on the Internet and the rapid development of mobile Internet technology, in recent years, Music Information Retrieval (MIR) based on music content has become a research hotspot among scholars at home and abroad. Often, people are able to extract rich and meaningful information from complex musical performances, but until now it has been difficult to process these signals with a computer, especially when it comes to chord recognition or chord transcription. [0003] It is generally believed that chord recognition is one of the central tasks of music information retrieval, and it plays an important role in the development of music information retr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10H1/38G10L15/08G10L25/54
Inventor 李锵闫志勇关欣
Owner TIANJIN UNIV