Karaoke Singing Technique Detection via Pitch and Volume Analysis
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Solution Overview
Problem
Conventional karaoke devices are unable to detect various singing techniques due to their limited analysis methods, which restrict their evaluation capabilities.
Innovation Solution
A technique determination device that includes an input sound acquisition unit, a pitch detection unit, a sound-volume detection unit, a starting-point detection unit, and a technique determination unit, which analyze the input sound on a time-series basis to identify specific singing techniques such as vibrato, crescendo, and decrescendo by detecting changes in sound volume and pitch.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional karaoke devices use limited analysis methods to evaluate singing, then the device complexity is low, but the measurement precision of singing techniques is insufficient
Solution Approach 1:
The patent segments the singing sound analysis into distinct temporal phases: pre-change period, change period (starting point), and post-change period. It separately detects pitch variations and sound volume changes in these segments, then integrates the results to determine specific singing techniques. This segmentation enables precise detection of technical characteristics without requiring overly complex unified analysis methods.
Solution Approach 2:
The patent performs preliminary detection of starting points where sound volume changes occur before final technique determination. By identifying these critical time points in advance and focusing analysis on the pitch variations and sound volume changes around these points, the system achieves high measurement precision for singing techniques while maintaining manageable computational complexity.
2Measurement precision
If the device analyzes sound volume and pitch changes in detail, then the measurement precision improves, but the computational complexity increases
Solution Approach 1:
The patent applies local quality analysis by focusing computational resources on specific time segments around the detected starting points rather than analyzing the entire sound waveform uniformly. It examines pitch and sound volume characteristics locally in the pre-change, change, and post-change periods, which improves detection precision while reducing overall computational burden compared to comprehensive continuous analysis.
Data Source
AI summary
A technique determination device according to one embodiment of the present invention comprises an input sound acquisition unit acquiring an input sound,a pitch detection unit detecting a pitch on a time-series basis based on the input sound, a sound-volume detection unit detecting a sound volume on the time series basis based on the input sound, a first starting-point detection unit determining whether variation of the sound volume is equal to or larger than a predetermined threshold for each predetermined period and detecting a starting point of a period in which the variation of the sound volume is equal to or larger than the threshold as a first starting point, and a technique determination unit determining a technique of the input sound based on a change of the sound volume after the first starting point and variation of the pitch after the first starting point.