Speaker-recognition pre-trained models (x-vector, ECAPA) outperform other speech and music models for singing voice MOS prediction, and their fusion via a Bhattacharyya-distance loss sets a new reported state of the art on SingMOS.
We validated it by presenting comprehensive com- parative analysis of various SOTA PTMs including monolingual, multilingual, speaker recognition SPTMs as well as MPTMs
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Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction
Speaker-recognition pre-trained models (x-vector, ECAPA) outperform other speech and music models for singing voice MOS prediction, and their fusion via a Bhattacharyya-distance loss sets a new reported state of the art on SingMOS.