Drum Tuner Detecting Fundamental Frequency from Transient Resonance
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Solution Overview
Problem
Tuning drums is challenging due to the short duration and complex, non-harmonic resonances of their sounds, making it difficult to accurately detect and adjust the fundamental frequency, and existing tuners are unsuitable for drums as they require sustained tones and periodic signals.
Innovation Solution
A method and device that digitize the analog signal from a drum, perform a Time-To-Frequency-Transform, and identify the fundamental spectral peak to determine the pitch, allowing for precise tuning of drumheads and sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing tuners are used for drums, then they can measure periodic signals, but they cannot accurately detect the fundamental frequency of drums due to short duration and non-harmonic resonances
Solution Approach 1:
The patent changes the measurement parameters from expecting periodic sustained tones to detecting transient bursts. The system adapts by modifying the signal detection criteria to identify fundamental frequencies in short-duration percussive sounds rather than continuous periodic signals, enabling accurate drum tuning despite the fundamentally different sound characteristics.
Solution Approach 2:
Instead of requiring the drum to produce a sustained periodic signal like traditional instruments, the patent inverts the approach by detecting the fundamental frequency directly from the transient burst itself. The system identifies spectral peaks in the short-duration signal and uses those to determine pitch, rather than waiting for a sustained tone to establish periodicity.
2Duration of action of moving object
If a drum produces a percussive sound with short duration, then it creates a unique transient resonance, but this limits the time available for frequency analysis
Solution Approach 1:
The patent applies preliminary action by capturing and buffering the transient burst signal immediately when it occurs, storing it for subsequent analysis. This allows the system to perform comprehensive frequency analysis on the captured signal even though the original sound duration was very short, effectively extending the analysis window beyond the physical sound duration.
Solution Approach 2:
The patent transitions from analyzing sound in the time domain to the frequency domain through spectral analysis. By converting the transient time-domain signal into its frequency spectrum, the system can identify fundamental frequencies and harmonics that are not apparent in the time domain, effectively adding a dimensional transformation to overcome the limitation of short duration.
3Stability of the object's composition
If drum-head tension is adjusted to achieve uniform pitch, then the drum is in tune with itself, but the short decay time makes it difficult to assess pitch uniformity
Solution Approach 1:
The patent implements feedback by measuring the pitch at multiple locations around the drum-head and comparing these measurements to determine uniformity. The system provides immediate feedback on whether adjacent pitches are within an acceptable tolerance, guiding the tuning process. This automated feedback loop compensates for the short decay time by rapidly capturing and analyzing multiple pitch measurements before the sound fully decays.
Solution Approach 2:
The system performs self-service by automatically detecting pitch, comparing adjacent pitches, and determining whether the drum-head is evenly tuned without requiring manual assessment. The tuner independently evaluates pitch uniformity by analyzing the captured transient signals and determining if the drum-head is 'cleared' or in tune with itself, eliminating the need for subjective human judgment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient tuning of drums by isolating the fundamental frequency from transient signals, improving tuning accuracy and repeatability, and accommodating the unique sound characteristics of drums.
Implementation Method 1
receiving an analog signal in response to a resonance of a structure
Implementation Method 2
A receiver produces an electrical signal corresponding to the sound or vibration produced by the drum
Implementation Method 3
The analog signal is digitized to create a plurality of time samples
Implementation Method 4
A power spectrum is estimated by computing a Time-To-Frequency-Transform of the series of time samples to create a series of frequency samples
Data Source
AI summary
A resonance tuner receives and digitizes an analog signal in response to a resonance of a structure thereby creating a plurality of time samples. A series of the time samples are buffered upon burst detection. A power spectrum is estimated by computing a Time-To-Frequency-Transform of the series of time samples and a magnitude of each of the resulting frequency samples is squared. At least one subset associated with at least one spectral peak is selected from the frequency samples. Each spectral peak has at least one sample with a sufficient magnitude and being spectrally adjacent to any other sample in another spectral peak by less than a threshold. A fundamental spectral peak is determined in a fundamental subset including a spectral peak with a sample at the lowest frequency greater than zero. The fundamental spectral peak has the sample with the largest magnitude within the fundamental subset.