A new multi-microphone annotated dataset for classifying Neutral, Curbing, Overdrive, and Edge vocal modes achieves 81.3% balanced accuracy in ResNet18 baselines.
Electronic Theses and Disserta- tions (2011),https://digitalcommons.memphis.edu/etd/376
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A Dataset for Automatic Vocal Mode Classification
A new multi-microphone annotated dataset for classifying Neutral, Curbing, Overdrive, and Edge vocal modes achieves 81.3% balanced accuracy in ResNet18 baselines.