Exploratory experiments combining four voice databases to evaluate XGBoost, DenseNet, and Isolation Forest on raw waveforms, spectrograms, MFCCs, and acoustic features for pathology detection, with peak F1 of 0.733.
In: Proceedings of the 22nd acm sigkdd in- ternational conference on knowledge discovery and data mining, pp
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Towards Robust Voice Pathology Detection
Exploratory experiments combining four voice databases to evaluate XGBoost, DenseNet, and Isolation Forest on raw waveforms, spectrograms, MFCCs, and acoustic features for pathology detection, with peak F1 of 0.733.