CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models

arXiv:2609.14956 · cs.SD, cs.AI, eess.AS · Submitted 2026-09-14 · Read on arXiv

cs.SD, cs.AI, eess.AS

Submitted: 2026-09-14

Updated: 2026-09-14

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 21× in this paper · explained in 1 episode
• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Foundation Model — 10× in this paper · explained in 3 episodes
• Foundation Models — 10× in this paper · explained in 7 episodes
• Full Fine-Tuning — 7× in this paper
• Robustness — 6× in this paper · explained in 5 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Best Layer — 4× in this paper
• Last Layer — 4× in this paper
• Speech Quality Assessment — 4× in this paper
• Verification — 4× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Self-Supervised Learning — 3× in this paper · explained in 8 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Knowledge Distillation — 2× in this paper · explained in 11 episodes
• Mean Opinion Score — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Loss Function — 1× in this paper · explained in 2 episodes
• Mean Squared Error — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Spearman Rank Correlation Coefficient — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Selection of Layers from Self-supervised Learning Models for Predicting Mean-Opinion-Score of Speech
• Layer-wise Analysis for Quality of Multilingual Synthesized Speech
• Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruning
• Seamless: Multilingual Expressive and Streaming Speech Translation
• SingMOS: An extensive Open-Source Singing Voice Dataset for MOS Prediction

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