Singing scoring method with radial basis function-based statistical model

A statistical model and basis function technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as different scoring results, and achieve stable, accurate and accurate scoring effects

Inactive Publication Date: 2012-09-12
HANGZHOU LIVENTOP TECH
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AI Technical Summary

Problems solved by technology

[0003] The traditional singing scoring method scores by comparing the acoustic characteristics of the target audio and the reference audio. The disadvantage is that using different reference audio will result in very different scoring results.

Method used

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  • Singing scoring method with radial basis function-based statistical model
  • Singing scoring method with radial basis function-based statistical model
  • Singing scoring method with radial basis function-based statistical model

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0030] A kind of singing scoring method based on radial basis function statistical model, comprises the following steps:

[0031] (1) Preprocessing, see figure 1 , including the following steps:

[0032] Feature library production, see part 101 in the figure: collect several reference audio samples of the same song, that is, the recordings of the same singer in different periods and recordings of different singers, store them in the .mp3 standard format, and use a standard decoder to decode them into 16KHz waveform streams. Denote as {S i}, divide the sample into audio segments with a length of 50 milliseconds and an overlap of 20 milliseconds before and after, where, recorded as Extract the short-term signal features of the audio segment, including Mel cepstrum coefficient features, linear prediction coefficients, and fundamental frequency featu...

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Abstract

The invention discloses a singing scoring method with a radial basis function-based statistical model. According to the conventional singing scoring method, the singing is scored by comparing the acoustic characteristic difference between a target audio frequency and a reference audio frequency. The conventional singing scoring method that the defect that: different scoring results are acquired due to different reference audio frequencies. The invention provides the singing scoring method with the radial basis function-based statistical model. The singing scoring method comprises the following steps of: acquiring reference audio frequencies with different standard samples, and extracting the acoustic characteristics, wherein the acoustic characteristics comprise Mel-frequency cepstral coefficient characteristics, linear prediction coefficients and fundamental frequency characteristics; training by using the characteristics to acquire the radial basis function-based statistical model; calculating a logarithmic probability matrix of the target audio frequency by means of the model; and calculating the optimal matching logarithmic probability by dynamically warping, and thus acquiring more accurate and stable scores.

Description

technical field [0001] The invention relates to the field of singing scoring, in particular to a singing scoring method based on radial basis function statistical model. Background technique [0002] The scoring method for singing is mainly used in karaoke devices or software, and the purpose is to evaluate the voice of the singer and increase the fun of singing. [0003] The traditional singing scoring method scores by comparing the difference in acoustic features between the target audio and the reference audio. The disadvantage is that using different reference audios will result in very different scoring results. Contents of the invention [0004] In order to overcome the deficiencies of the prior art, the invention discloses a singing scoring method based on a radial basis function statistical model. [0005] The present invention has adopted following technical scheme: [0006] A kind of singing scoring method based on radial basis function statistical model, is ch...

Claims

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Application Information

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IPC IPC(8): G10L19/00G10L15/10G10L25/51
Inventor 林裕旭刘康苗刘迪搏张恺
Owner HANGZHOU LIVENTOP TECH
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