Audio Analysis Device Sound Generation Position Estimation Accuracy
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Solution Overview
Problem
Existing audio signal analysis methods face challenges in accurately estimating the sound generation position in a music piece, leading to potential erroneous estimations, which necessitate a quantitative evaluation of the validity of the probability distribution for effective countermeasures.
Innovation Solution
An audio analysis method and device that calculate the sound generation probability distribution, estimate the sound generation position, and compute an index of validity using a distribution calculation module, position estimation module, and index calculation module, respectively, to assess the accuracy of the sound generation probability distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sound generation position is estimated by analyzing audio signal using hidden semi-Markov model, then sound generation position can be identified, but erroneous estimation may occur due to inability to completely eliminate estimation errors
Solution Approach 1:
The patent introduces a feedback mechanism by calculating an index that represents the validity of the sound generation probability distribution. This index is computed based on the probability distribution itself, and when the index falls below a threshold, the system performs re-estimation. This closed-loop feedback ensures that erroneous estimations are detected and corrected, thereby improving both measurement precision and reliability of the sound generation position estimation.
2Loss of information
If probability distribution is used to estimate sound generation position, then position can be identified, but quantitative evaluation of validity is difficult without additional metrics
Solution Approach 1:
The patent applies the self-service principle by having the sound generation probability distribution evaluate itself. The index calculation module computes the validity index directly from the probability distribution generated by the same system, without requiring external evaluation mechanisms. This self-evaluation approach preserves information about estimation validity while avoiding additional system complexity, as the existing probability distribution structure is leveraged for self-assessment.
Data Source
AI summary
An audio analysis method includes calculating, from an audio signal, a sound generation probability distribution which is a distribution of probabilities that sound representing the audio signal is generated at each position in a music piece, estimating, from the sound generation probability distribution, a sound generation position of the sound in the music piece, and calculating, from the sound generation probability distribution, an index of validity of the sound generation probability distribution.