HMamba, a hierarchical Mamba-based model with a decoupled cross-entropy loss, jointly performs pronunciation scoring and mispronunciation detection, reaching an MDD F1 of 63.85% on speechocean762.
These errors usually have clear-cut distinctions between correct and incorrect ones, and can be easily quantified through deletions, substitutions, and insertions
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Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss
HMamba, a hierarchical Mamba-based model with a decoupled cross-entropy loss, jointly performs pronunciation scoring and mispronunciation detection, reaching an MDD F1 of 63.85% on speechocean762.