![]() We are using the scientific information outline below to analyze our data. After researching how sound waves are produced by synthesizers and instruments we have realized these misconceptions. In the case of a guitar the pitch could change based on finger placement, with the flute based on lip shape. Especially in the case of a guitar or a flute, the pitch may also vary slightly based on how the person is playing. When people play instruments they cannot sustain a note at the same volume with the precision that a computer program can. Synthesizers cannot reproduce the natural amplitude or pitch variation that occurs with acoustic instruments. In reality, both acoustic and synthetic waves are sawtooth waves for the instruments that we were analyzing. On the other hand, we thought the synthetic wave would be more sharp and geometric looking. We imagined a “natural” sine wave to have nice curve with a consistent frequency. However, we misunderstood “more organic” to be a simple sine wave. We were correct in predicting “more organic” waves for instruments. Our earlier post about expected outcomes reveals that we had some misconceptions about sound waves, especially synthetic sound waves. Were our results as predicted? Why or why not? This means that the synthetic waves were more regular this is understandable because there is no natural pitch and volume variation in a computer-generated wave. 2495, while the average of acoustic waves’ RMS errors was 0.3359. The average of all synthetic waves’ RMS errors (including FM waves) was. As can be seen in the table above, our data clearly shows that acoustic waves do not fit a mathematical model as well as synthetic waves. In this case, the RMS is showing the different between the synthetic and acoustic waves and a sine curve. The Root Mean Square Error method shows the difference between data points and a mathematical model.
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