
Contributors will be responsible for annotating a corpus of English singing voice recordings at the phoneme level using ARPABET, including marking the start and end of each phoneme with millisecond accuracy. In addition, each segment will require precise annotation of the pitch or note being sung. You will use reference materials such as GTSinger for accurate and consistent labeling across the dataset. Qualified contributors should have prior experience with audio annotation, familiarity with phonetics and pitch/note recognition, and strong attention to detail. Experience with singing voice data or music technology is a plus. Ability to follow scripted guidelines and produce accurate, high-quality labels is essential.
Estimated Total Earnings
$1,200.00
Fixed Price
$3,600.00
Time Requirement
Less than 20 hrs/week
Duration
1 month
English singing audio, 10-15 hours, phoneme and pitch...
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Workload / Schedule
Expected weekly commitment is under 20 hours. Project duration is expected to be under 1 month. Labelers should follow milestone deadlines and quality checkpoints.
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