This week, I was able to finalize the note and clap detection algorithms, as well as the singing feature extraction, and vocal range calculation. The singing features that I chose in the end were: scale transposition, relative pitch difference per note, relative pitch transition difference, note duration, and interquartile range. Scale transposition is a measure of how many half-steps the users’ performance differs from the exercise most, which is calculated by taking the mode of absolute pitch differences. The relative pitch difference per note is a measure how sharp or flat a user is with respect to the transposed scale. The relative pitch transition difference per note is a measure of how users’ pitch changes from note to note. The note duration is simply a measure of how long users’ hold a note for. Finally, the interquartile range is a measure of how much users’ pitch vary per not; too much variance indicates that the singer is not doing a good job of holding the note. Vocal range is calculated by having users record their lowest and highest tones, and is used to guide the reference tones in the exercises, and can be recalibrated by the user at any time. Funmbi, Sai, and I have been able to successfully integrate our parts for the pitch and clap exercises and are now working on finishing touches and web deployment.
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