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Pitch detection method

A detection method and pitch technology, applied in speech analysis, instruments, etc., can solve problems such as poor pitch detection technology, and achieve the effect of improved detection accuracy and good robustness

Inactive Publication Date: 2014-12-10
CHONGQING UNIV OF POSTS & TELECOMM
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] To solve the problem of poor pitch detection technology in content-based music retrieval, Fangming proposes a pitch detection method based on harmonic peak method combined with cepstrum method (CEP)

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Embodiment Construction

[0021] Pitch detection is performed on individual notes, so the input audio signal must first be divided into notes. The music played by different musical instruments is collected into the computer in the form of audio signals and then processed accordingly. These collected signals are non-stationary and consecutive notes are superimposed and not hidden from each other, so they are similar to voice signals. Do short-term processing first, that is, note division. The following is an example of an ideal piano to illustrate the composition of a single note. The composition diagram is as follows figure 1 shown.

[0022] A single note is mainly composed of four parts: the attack, the attack part, during which the amplitude envelope of the note rises rapidly; the transient part, which represents the real playing time of the player; and finally, the slow decay of the instrument itself, namely deday and resonance section. The actual start time of a note, that is, the starting point...

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Abstract

The invention discloses a pitch detection method which researches aiming at the problem of a poor pitch detection technology in content-based music retrieval. The pitch detection method comprises the following steps of: converting a music signal to a frequency domain by virtue of Fourier transform to calculate, carrying out the first step of pitch detection on the signal according to a harmonic peak value method to find five low-frequency harmonic peaks, carrying out ascending sort according to the values of frequencies, then calculating the ratio among the frequencies, determining a group of pitch candidate sequences according to the data measured by an experiment, then carrying out pitch detection on the original music signal by a cepstrum method, combining the pitch sequences obtained by the two methods into a new pitch candidate sequence, finally finding a pitch corresponding to the lowest cost, that is, the standard pitch obtained by the method, by virtue of a confidence degree and viterbi optimal algorithm. The method disclosed by the invention is great in robustness and good in anti-noise performance.

Description

technical field [0001] The invention relates to audio signal processing, in particular to a pitch detection method for pure music signals under different noise environments. Background technique [0002] The pitch of the notes in music is called pitch, which is determined by the eigenfrequency, that is, the fundamental frequency, and is inversely proportional to the frequency. Pitch is an important parameter to describe music, and it plays a key role in the fields of humming retrieval, music recognition and music separation. Whether the pitch can be detected quickly and accurately directly affects various performances of related systems. [0003] With the development of the Internet and digital music, there are more and more ways for people to get in touch with music. How to quickly and accurately find the music they want is a major problem faced by many related companies and users. The main direction of existing music retrieval feature extraction algorithms is inseparable...

Claims

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Application Information

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IPC IPC(8): G10L25/90G10L25/18G10L25/24
Inventor 张天骐徐昕张刚石穗张亚娟
Owner CHONGQING UNIV OF POSTS & TELECOMM
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