Presentation on theme: "Mark Stocker Eastern Kentucky University Department of Technology"— Presentation transcript:
1 Mark Stocker Eastern Kentucky University Department of Technology Eguitar tunerMark StockerEastern Kentucky UniversityDepartment of Technology
2 OUTLINE Automatic Guitar tuning Amplification of signal Frequency MeasurementHarmonic Interference
3 MOTIVATION Beginners often have trouble tuning their guitar properly. Self tuning guitars such as the Gibson Robot are extremely expensive ($4000!)
4 INTRODUCTIONEach guitar string vibrates at a unique fundamental frequency.The fundamental frequency of the string directly relates to the musical note being played via the formula:n is the number of steps away from middle A (which is exactly 440Hz)
5 PROBLEM STATEMENTFrequency measurement is typically done by custom made Digital Signal Processors (DSP’s).DSP’s take a lot of time and money to develop into a working product.
6 PROPOSED SOLUTIONAnalyze and tune the guitar using general purpose devices that are easily acquired and very inexpensive.Perform the signal processing and motor control in software instead of a hardware DSP device.
7 Frequency measurement Measure the voltage of the guitar signal using the Atmel AVR built in Analog-to-Digital convertor (ADC).Sample the change in voltage at a very high rate (200uS) to detect each time the waveform crosses the zero point or bias.After a predetermined number of zero crossings have been detected, determine frequency using the formula 1/T where T is the amount of time that passed during the sample.
9 Frequency measurement Compare the measured readings to those known to be in the correct range (+/- .05% of intended frequency) and tune string accordingly with a stepper motor.Standard Guitar Tuning:Frequency (Hz) Period 200uSE =A =D =G =B =e =
10 Problem #1The output of the guitar is very weak. 3mV peak-to-peak is typical.The 8-bit ADC of the AVR is setup to use a 5V reference voltage.We have 255 usable steps over the 5 volt range which is equal to 19mV per step.This will not allow us enough precision to detect the zero crossings of the wave form.The bias or baseline of the guitar signal needs to be at 2.56 volts, so we can detect both the positive and negative part of the waveform.
11 Solution #1Amplify and bias the signal using a simple op-amp circuit.
12 Problem #2Due to the varying stiffness of steel guitar strings, along with the fundamental frequency, harmonic frequencies are also generated, which can be quite powerful as seen below:
13 Problem #2 The 2nd harmonic is especially powerful. Since we are only measuring zero crossings of the waveform, the harmonics end up being measured also, producing incorrect results.
14 Solution #2To prevent false readings, we will filter the harmonics from the signal in software, with the filter customized for each string.I use a bitshift in this filter (>>) to do the division in order to save CPU cycles.The value of filter is set according to current string selection. Lower values create a more narrow band-pass.signal = ((filter * last_sample_value + (16 – filter) * sample_value)>>4);
15 RESULTSThe circuit and program are successful at reading determining the input frequency accurately.The stepper motor assembly is successful at tuning the strings automatically, although slow.
20 media eGuitar tuner in action: eGuitar put to the test against commercial tuner:eGuitar C code:
21 CONCLUSIONSConsidering commercial guitar tuning devices use specialized DSP’s, I was quite surprised at how well the AVR functioned.I learned many new things during the project, such as filtering signals in software, the use of AVR ADC and Timers, and stepper motor control.
23 FUTURE WORK Use a shielded enclosure to prevent outside interference. Fine tune the OP-AMP circuit and implement hardware filters for faster and more accurate tuning.Streamline the program by writing it in pure assembly code.- Plan for 3-5 audience questions ahead of time
24 SoftwareOnly free / open source software was used in the making of this project, except for Microsoft PowerPoint. Operating System: Ubuntu Linux running KDE Development Environment: KATE Compiler: AVR-GCC AVR Programmer: AVRdude Signal Generation: Siggen
25 REFERENCESAtmel Corporation, ATtiny261/461/861 Datasheet, November 7th 2006, Retrieved from: Atmel Corporation, Digital Filters with AVR, July 16th 2008, Retrieved from: NonGNU.org, AVR Libc Online Manual, Retrieved from: