SIRTAH: Singing Reinforcement Training Applying Haptics: A Wearable Device That Uses Fundamental Frequency Tracking To Provide Vibrotactile Feedback & Help Vocalists Sing On Pitch
Translated title
SIRTAH: Singing Reinforcement Training Applying Haptics: En bærbar enhed, der bruger grundlæggende frekvenssporing til at give vibrotaktil feedback og hjælpe vokalister med at synge på banen
Author
Hedges, Michael Carl
Term
4. Term
Education
Publication year
2022
Submitted on
2022-05-25
Pages
61
Abstract
Dette studie undersøger, om et bærbart hjælpemiddel, der giver vibrationsbaseret (haptisk) feedback i realtid om, hvor rent man synger, er anvendeligt for brugere. Enheden, SIRTAH (Singing Reinforcement Training Applying Haptics), estimerer tonehøjde via en YIN-baseret algoritme for grundfrekvens (f0), og giver berøringsfeedback gennem en lille møntformet vibrationsmotor. To evalueringer blev gennemført med nybegyndersangere (n = 23 og n = 6) i henholdsvis kort- og langtidstest, hvor målet var, at deltagerne justerede deres sang, indtil de lå meget tæt på korrekt tonehøjde. Deltagerne vurderede enheden via System Usability Scale (SUS), og deres evne til at ramme toner under forskellige betingelser blev målt. Resultaterne peger på et acceptabelt niveau af brugervenlighed, men også på behov for justeringer og forbedringer, før løsningen kan anses som fuldt levedygtig.
This study examines whether a wearable device that provides real-time vibration-based (haptic) feedback about how in-tune a singer is can be practical for users. The device, SIRTAH (Singing Reinforcement Training Applying Haptics), estimates pitch using a YIN-based algorithm for fundamental frequency (f0) and delivers haptic cues via a small coin-shaped vibration motor. Two evaluations were conducted with novice singers (n = 23 and n = 6) in short- and long-term trials, aiming to help participants adjust their singing until they were close to the correct pitch. Participants completed the System Usability Scale (SUS), and their accuracy in singing notes under different conditions was measured. The results indicate an acceptable level of usability, while also suggesting that adjustments and improvements are needed before the device can be considered fully viable.
[This abstract was generated with the help of AI]
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