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A technology of automatic detection and vibrato, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of automatic detection of vibrato, great influence of vibrato, etc.
Inactive Publication Date: 2009-03-11
HARBIN INST OF TECH
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[0003] In order to solve the problem that vibrato has great influence on automatic music notation in the process of automatic labeling of string music and the problem that traditional automatic music labeling methods cannot automatically detect vibrato in music, the present invention provides an automatic detection of vibrato in string music method
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specific Embodiment approach 1
[0011] Specific implementation mode one: this implementation mode consists of the following steps:
[0012] Step A1, according to the number N of notes in the common range of string music, trills are divided into N categories, N represents a natural number, and the N-category vibrato model is trained as a matching object library by the method of audio recognition;
[0013] Step A2, denote the audio signal of the music to be detected as s(n), carry out feature extraction to the audio signal s(n) to obtain the feature vector sequence X={x 1 , x 2 ,...,x s}, S represents a natural number;
[0014] Step A3, on the basis of sub-framing, segment the feature vector sequence X with the length of the calculated vibrato average period T, where T represents a real number greater than 0;
[0015] Step A4, identifying each segment of the vector sequence by means of audio recognition;
[0016] Step A5. For the set parameter M, the time period corresponding to the vector sequence of M or...
specific Embodiment approach 2
[0032] Specific implementation mode two: see Figure 1 ~ Figure 3 , this embodiment further defines that the detection described in step A5 is composed of the following steps on the basis of the specific embodiment one:
[0033] Step B1, clearing the value n of the counter, where n is a natural number;
[0034] Step B2, taking a vector sequence of length T from the feature vector sequence X;
[0035] Step B3, judging whether the vector sequence of length T is a tremolo and is the same as the last recorded tremolo category by the method of audio recognition, if the judgment result is yes, then enter step B4, if the judgment result is no, then enter step B5;
[0036] Step B4, record the category of the vibrato, add 1 to the value n of the counter and return to step B2;
[0037] Step B5, judge whether the value n of the counter is greater than or equal to M (may make M equal to 3), if the judgment result is yes, then enter step B6, if the judgment result is no, then return to s...
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Abstract
The invention relates to a method for automatically detecting string music trills, in particular to a method for detecting string music in real time during automatic music transcription so as to solve the problems that the trills have great influence on the automatic music transcription, and a traditional automatic music transcription method can not automatically detect the trills in the music during automatic string music transcription. According to the number of common diapason notes of the string music, the trills are classified into N categories, and the N categories of trill modules are trained into a matched object library through an audio recognition method, and audio signals of the music to be detected are inputted, and the characteristics of the audio signals are extracted to obtain a characteristic vector sequence; the average period of the counted trills is used as a length to segment the characteristic vector sequence, each vector sequence segment is recognized through the audio recognition method, and time segments corresponding to the vector sequences of which continuous M or more than M segments are recognized as the same category of trills are detected to be the time segments of the thrills. The invention automatically detects the trills and eliminates the influence of the thrills on the automatic music transcription.
Description
technical field [0001] The invention relates to an audio recognition technology and a detection method in the field of automatic music labeling, in particular to a method for real-time detection of string music in the process of automatic music labeling. Background technique [0002] Automatic music labeling is an important application of multimedia technology. It refers to automatically recording its score in some form through the analysis and processing of music audio signals, so as to be used in many music-related fields such as auxiliary music teaching and auxiliary music creation. field. Although the automatic music labeling technology has made great progress in recent years, there are still many problems that have not been well resolved. At present, most of the research results are based on the conditions of single instrument solo, keynote music, and performance without special skills. Automatic music labeling under complex conditions such as the labeling of multi-ins...
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